{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":59093,"databundleVersionId":7469972,"sourceType":"competition"},{"sourceId":8343809,"sourceType":"datasetVersion","datasetId":4956133},{"sourceId":6122,"sourceType":"modelInstanceVersion","modelInstanceId":4605},{"sourceId":6127,"sourceType":"modelInstanceVersion","modelInstanceId":4598}],"dockerImageVersionId":30699,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import pandas as pd\nimport matplotlib.pyplot as plt\nimport os \nimport numpy as np\nimport tensorflow as tf\nimport keras\nfrom tensorflow.keras import Model\nfrom tensorflow.keras.layers import Dense, GlobalAveragePooling2D, Lambda\nfrom tensorflow.keras.applications import EfficientNetB2\nfrom tensorflow.keras.layers import Permute\nfrom tensorflow.keras.layers import Layer\nimport keras_cv","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:02:30.738982Z","iopub.execute_input":"2024-05-07T18:02:30.739761Z","iopub.status.idle":"2024-05-07T18:02:50.860752Z","shell.execute_reply.started":"2024-05-07T18:02:30.739732Z","shell.execute_reply":"2024-05-07T18:02:50.859774Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stderr","text":"2024-05-07 18:02:33.995532: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-05-07 18:02:33.995669: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-05-07 18:02:34.153375: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}]},{"cell_type":"markdown","source":"# Load Train Data ","metadata":{}},{"cell_type":"code","source":"df = pd.read_csv('/kaggle/input/hms-harmful-brain-activity-classification/train.csv')\nTARGETS = df.columns[-6:]\nprint('Train shape:', df.shape)\nprint('Targets', list(TARGETS))\ndf.head()","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:02:56.306842Z","iopub.execute_input":"2024-05-07T18:02:56.307457Z","iopub.status.idle":"2024-05-07T18:02:56.5945Z","shell.execute_reply.started":"2024-05-07T18:02:56.307425Z","shell.execute_reply":"2024-05-07T18:02:56.593625Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"Train shape: (106800, 15)\nTargets ['seizure_vote', 'lpd_vote', 'gpd_vote', 'lrda_vote', 'grda_vote', 'other_vote']\n","output_type":"stream"},{"execution_count":2,"output_type":"execute_result","data":{"text/plain":"       eeg_id  eeg_sub_id  eeg_label_offset_seconds  spectrogram_id  \\\n0  1628180742           0                       0.0          353733   \n1  1628180742           1                       6.0          353733   \n2  1628180742           2                       8.0          353733   \n3  1628180742           3                      18.0          353733   \n4  1628180742           4                      24.0          353733   \n\n   spectrogram_sub_id  spectrogram_label_offset_seconds    label_id  \\\n0                   0                               0.0   127492639   \n1                   1                               6.0  3887563113   \n2                   2                               8.0  1142670488   \n3                   3                              18.0  2718991173   \n4                   4                              24.0  3080632009   \n\n   patient_id expert_consensus  seizure_vote  lpd_vote  gpd_vote  lrda_vote  \\\n0       42516          Seizure             3         0         0          0   \n1       42516          Seizure             3         0         0          0   \n2       42516          Seizure             3         0         0          0   \n3       42516          Seizure             3         0         0          0   \n4       42516          Seizure             3         0         0          0   \n\n   grda_vote  other_vote  \n0          0           0  \n1          0           0  \n2          0           0  \n3          0           0  \n4          0           0  ","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>eeg_id</th>\n      <th>eeg_sub_id</th>\n      <th>eeg_label_offset_seconds</th>\n      <th>spectrogram_id</th>\n      <th>spectrogram_sub_id</th>\n      <th>spectrogram_label_offset_seconds</th>\n      <th>label_id</th>\n      <th>patient_id</th>\n      <th>expert_consensus</th>\n      <th>seizure_vote</th>\n      <th>lpd_vote</th>\n      <th>gpd_vote</th>\n      <th>lrda_vote</th>\n      <th>grda_vote</th>\n      <th>other_vote</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1628180742</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>353733</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>127492639</td>\n      <td>42516</td>\n      <td>Seizure</td>\n      <td>3</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1628180742</td>\n      <td>1</td>\n      <td>6.0</td>\n      <td>353733</td>\n      <td>1</td>\n      <td>6.0</td>\n      <td>3887563113</td>\n      <td>42516</td>\n      <td>Seizure</td>\n      <td>3</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1628180742</td>\n      <td>2</td>\n      <td>8.0</td>\n      <td>353733</td>\n      <td>2</td>\n      <td>8.0</td>\n      <td>1142670488</td>\n      <td>42516</td>\n      <td>Seizure</td>\n      <td>3</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1628180742</td>\n      <td>3</td>\n      <td>18.0</td>\n      <td>353733</td>\n      <td>3</td>\n      <td>18.0</td>\n      <td>2718991173</td>\n      <td>42516</td>\n      <td>Seizure</td>\n      <td>3</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1628180742</td>\n      <td>4</td>\n      <td>24.0</td>\n      <td>353733</td>\n      <td>4</td>\n      <td>24.0</td>\n      <td>3080632009</td>\n      <td>42516</td>\n      <td>Seizure</td>\n      <td>3</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"# Create Non-Overlapping EEG Id","metadata":{}},{"cell_type":"code","source":"train = df.groupby('eeg_id')[['spectrogram_id']].agg({'spectrogram_id':'first'})\ntrain.columns = ['spec_id']\n\ntmp = df.groupby('eeg_id')[['patient_id']].agg('first')\ntrain['patient_id'] = tmp\n\ntmp = df.groupby('eeg_id')[TARGETS].agg('sum')\nfor t in TARGETS:\n    train[t] = tmp[t].values\n    \ny_data = train[TARGETS].values\ny_data = y_data / y_data.sum(axis=1,keepdims=True)\ntrain[TARGETS] = y_data\n\ntmp = df.groupby('eeg_id')[['expert_consensus']].agg('first')\ntrain['target'] = tmp\n\ntrain = train.reset_index()\nprint('Train non-overlapp eeg_id shape:', train.shape)\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:02:59.855355Z","iopub.execute_input":"2024-05-07T18:02:59.856447Z","iopub.status.idle":"2024-05-07T18:02:59.940063Z","shell.execute_reply.started":"2024-05-07T18:02:59.856404Z","shell.execute_reply":"2024-05-07T18:02:59.939192Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"Train non-overlapp eeg_id shape: (17089, 10)\n","output_type":"stream"},{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"   eeg_id     spec_id  patient_id  seizure_vote  lpd_vote  gpd_vote  \\\n0  568657   789577333       20654           0.0  0.000000      0.25   \n1  582999  1552638400       20230           0.0  0.857143      0.00   \n2  642382    14960202        5955           0.0  0.000000      0.00   \n3  751790   618728447       38549           0.0  0.000000      1.00   \n4  778705    52296320       40955           0.0  0.000000      0.00   \n\n   lrda_vote  grda_vote  other_vote target  \n0   0.000000   0.166667    0.583333  Other  \n1   0.071429   0.000000    0.071429    LPD  \n2   0.000000   0.000000    1.000000  Other  \n3   0.000000   0.000000    0.000000    GPD  \n4   0.000000   0.000000    1.000000  Other  ","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>eeg_id</th>\n      <th>spec_id</th>\n      <th>patient_id</th>\n      <th>seizure_vote</th>\n      <th>lpd_vote</th>\n      <th>gpd_vote</th>\n      <th>lrda_vote</th>\n      <th>grda_vote</th>\n      <th>other_vote</th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>568657</td>\n      <td>789577333</td>\n      <td>20654</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.000000</td>\n      <td>0.166667</td>\n      <td>0.583333</td>\n      <td>Other</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>582999</td>\n      <td>1552638400</td>\n      <td>20230</td>\n      <td>0.0</td>\n      <td>0.857143</td>\n      <td>0.00</td>\n      <td>0.071429</td>\n      <td>0.000000</td>\n      <td>0.071429</td>\n      <td>LPD</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>642382</td>\n      <td>14960202</td>\n      <td>5955</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>Other</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>751790</td>\n      <td>618728447</td>\n      <td>38549</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>1.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>GPD</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>778705</td>\n      <td>52296320</td>\n      <td>40955</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>Other</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"# Train Scheduler","metadata":{}},{"cell_type":"code","source":"import math\nLR_START = 1e-6\nLR_MAX = 1e-3\nLR_MIN = 1e-6\nLR_RAMPUP_EPOCHS = 0\nLR_SUSTAIN_EPOCHS = 0\nEPOCHS2 = 5\n\ndef lrfn(epoch):\n    if epoch < LR_RAMPUP_EPOCHS:\n        lr = (LR_MAX - LR_START) / LR_RAMPUP_EPOCHS * epoch + LR_START\n    elif epoch < LR_RAMPUP_EPOCHS + LR_SUSTAIN_EPOCHS:\n        lr = LR_MAX\n    else:\n        decay_total_epochs = EPOCHS2 - LR_RAMPUP_EPOCHS - LR_SUSTAIN_EPOCHS - 1\n        decay_epoch_index = epoch - LR_RAMPUP_EPOCHS - LR_SUSTAIN_EPOCHS\n        phase = math.pi * decay_epoch_index / decay_total_epochs\n        cosine_decay = 0.5 * (1 + math.cos(phase))\n        lr = (LR_MAX - LR_MIN) * cosine_decay + LR_MIN\n    return lr\n\nrng = [i for i in range(EPOCHS2)]\nlr_y = [lrfn(x) for x in rng]\nplt.figure(figsize=(10, 4))\nplt.plot(rng, lr_y, '-o')\nplt.xlabel('epoch',size=14); plt.ylabel('learning rate',size=14)\nplt.title('Cosine Training Schedule',size=16); plt.show()\n\nLR = tf.keras.callbacks.LearningRateScheduler(lrfn, verbose = True)","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:03:03.143823Z","iopub.execute_input":"2024-05-07T18:03:03.144453Z","iopub.status.idle":"2024-05-07T18:03:03.399874Z","shell.execute_reply.started":"2024-05-07T18:03:03.144417Z","shell.execute_reply":"2024-05-07T18:03:03.398995Z"},"trusted":true},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x400 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"# Handling Montages","metadata":{}},{"cell_type":"code","source":"NAMES = ['LL', 'LP', 'RL', 'RP', 'C']\n\nIMP_FEATS = ['Fp1', 'F3', 'C3', 'P3', 'F7', 'T3',\n             'T5','O1', 'Fp2', 'F4', 'C4', 'P4',\n             'F8', 'T4', 'T6', 'O2', 'Fz', 'Cz', 'Pz']\n\nIMP_FEATS_index = {y:x for x,y in enumerate(IMP_FEATS)}\n\nBANANA = [['Fp1','F7','T3','T5','O1'],\n         ['Fp1','F3','C3','P3','O1'],\n         ['Fp2','F8','T4','T6','O2'],\n         ['Fp2','F4','C4','P4','O2']]\n\nCENTER = ['Fz', 'Cz', 'Pz']","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:03:06.708814Z","iopub.execute_input":"2024-05-07T18:03:06.709602Z","iopub.status.idle":"2024-05-07T18:03:06.717061Z","shell.execute_reply.started":"2024-05-07T18:03:06.70957Z","shell.execute_reply":"2024-05-07T18:03:06.716133Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"markdown","source":"# Data Loader","metadata":{}},{"cell_type":"markdown","source":"The Data loader outputs 18 feature signal from the BANANA Montage (16) and from the CENTER Montage (2),  each of 10000 sample representing the middle 50 seconds of the given signals. No augmentation is used here.","metadata":{}},{"cell_type":"code","source":"TARS = {'Seizure':0, 'LPD':1, 'GPD':2, 'LRDA':3, 'GRDA':4, 'Other':5}\nTARS2 = {x:y for y,x in TARS.items()}\nfile_path = '/kaggle/input/hms-harmful-brain-activity-classification/train_eegs/'\nclass DataGenerator(tf.keras.utils.Sequence):\n    'Generate data for keras'\n    def __init__(self, data, batch_size = 32, shuffle = False, mode='train', IMP_FEATS = IMP_FEATS ,\n                 file_path = file_path, BANANA = BANANA, CENTER = CENTER):\n\n        self.data = data\n        self.batch_size = batch_size\n        self.shuffle = shuffle\n        self.mode = mode\n        self.BANANA = BANANA\n        self.CENTER = CENTER\n        self.IMP_FEATS = IMP_FEATS\n        if isinstance(file_path, str):\n            self.file_path = file_path\n        else: print('file_path must be a path to the training file signals in parquet format')\n        self.on_epoch_end()\n\n    def __len__(self):\n        'Denotes the number of batches per epoch'\n        ct = int(np.ceil(len(self.data) / self.batch_size))\n        return ct\n\n    def on_epoch_end(self):\n        'Updates indexes after each epoch'\n        self.indexes = np.arange(len(self.data))\n        if self.shuffle == True: np.random.shuffle(self.indexes)\n\n    def __getitem__(self, index):\n        'Generate one batch of data'\n        indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]\n        X1, y = self.__data_generation(indexes)\n        return X1, y\n\n\n    def __data_generation(self, indexes):\n        'Generates data containing batch_size samples'\n\n        X1 = np.zeros((len(indexes), 10000, 18, 1), dtype='float32')\n        y = np.zeros((len(indexes),6),dtype='float32')\n\n        for j,i in enumerate(indexes):\n\n            row = self.data.iloc[i]\n            eeg = pd.read_parquet(f'{self.file_path}{row.eeg_id}.parquet', columns = self.IMP_FEATS)\n            middle = (len(eeg)-10_000)//2\n            eeg = eeg.iloc[middle:middle+10_000]\n            count = 0\n            # Calculate BANANA Features\n            for k in range(4):\n                COLS = self.BANANA[k]\n                coeff = []\n                for kk in range(4):\n                    \n                    # Calculate the differences\n                    x = eeg[COLS[kk]].values - eeg[COLS[kk+1]].values\n                    \n                    # Standardize\n                    x = np.clip(x, -1024, 1024)\n                    x = np.nan_to_num(x, nan = 0) / 32.0\n                    \n                    # Add dimension to make it compatible with cwt layer input\n                    X1[j,:,k + kk + count, :] = np.expand_dims(x, axis = -1)\n                    \n                count += 3\n            # Calculate CENTER Features\n            for m in range(2):\n                z = eeg[self.CENTER[m]].values - eeg[self.CENTER[m + 1]].values\n                \n                z = np.clip(z, -1024, 1024)\n                z = np.nan_to_num(z, nan = 0) / 32.0\n                \n                X1[j,:,-1 - m, :] = np.expand_dims(z, axis = -1)\n                \n            if self.mode != 'test':\n                y[j,] = row[TARGETS]\n\n        return X1, y","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:03:10.265924Z","iopub.execute_input":"2024-05-07T18:03:10.26661Z","iopub.status.idle":"2024-05-07T18:03:10.2855Z","shell.execute_reply.started":"2024-05-07T18:03:10.266576Z","shell.execute_reply":"2024-05-07T18:03:10.284627Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"markdown","source":"# Display Data Loader","metadata":{}},{"cell_type":"code","source":"gen = DataGenerator(train, batch_size = 32, shuffle = False)\nx1, y =gen[0] # Take one batch\nfig, ax = plt.subplots(18, 1, figsize=(18,9))\nfor i in range(x1[0].shape[1]): # Take one sample\n    ax[i].plot(x1[0][:,i])\n    ax[i].axis('off')\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:03:13.864601Z","iopub.execute_input":"2024-05-07T18:03:13.865196Z","iopub.status.idle":"2024-05-07T18:03:15.587129Z","shell.execute_reply.started":"2024-05-07T18:03:13.865164Z","shell.execute_reply":"2024-05-07T18:03:15.58619Z"},"trusted":true},"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1800x900 with 18 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"# CWT Layer","metadata":{}},{"cell_type":"markdown","source":"Layer to compute the Complex Wavelet Transform of the signal  ","metadata":{}},{"cell_type":"code","source":"%cd /kaggle/input/cmorlet-tensorflow-3/cmorlet-tensorflow-3/CWT","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:03:21.915059Z","iopub.execute_input":"2024-05-07T18:03:21.916136Z","iopub.status.idle":"2024-05-07T18:03:21.926954Z","shell.execute_reply.started":"2024-05-07T18:03:21.916094Z","shell.execute_reply":"2024-05-07T18:03:21.925892Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"/kaggle/input/cmorlet-tensorflow-3/cmorlet-tensorflow-3/CWT\n","output_type":"stream"}]},{"cell_type":"code","source":"import cwt","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:03:24.571018Z","iopub.execute_input":"2024-05-07T18:03:24.571894Z","iopub.status.idle":"2024-05-07T18:03:24.586357Z","shell.execute_reply.started":"2024-05-07T18:03:24.571858Z","shell.execute_reply":"2024-05-07T18:03:24.585413Z"},"trusted":true},"execution_count":9,"outputs":[]},{"cell_type":"markdown","source":"# Magnitude Layer","metadata":{}},{"cell_type":"code","source":"@keras.saving.register_keras_serializable()\nclass Magnitude_of_Complex_CWT(Layer):\n\n    \"\"\"\n    Custom Keras layer to compute the magnitude of complex Wavelet Transform scalograms.\n    \"\"\"\n    def __init__(self, magnitude = True, **kwargs):\n        super().__init__(**kwargs)\n        self.magnitude = magnitude\n        \n    def call(self, inputs):\n        if self.magnitude:\n            real_part = inputs[:, :, :, 0]\n            imag_part = inputs[:, :, :, 1]\n            result = tf.math.sqrt(tf.math.square(real_part) + tf.math.square(imag_part))\n            result = tf.expand_dims(result, axis=-1)\n            return result\n        else:\n            print(\"Layer is not activated!\")\n            \n    def get_config(self):\n        return {\"magnitude\": self.magnitude}","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:03:27.556976Z","iopub.execute_input":"2024-05-07T18:03:27.557749Z","iopub.status.idle":"2024-05-07T18:03:27.566214Z","shell.execute_reply.started":"2024-05-07T18:03:27.557714Z","shell.execute_reply":"2024-05-07T18:03:27.565087Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"markdown","source":"# Scale Layer","metadata":{}},{"cell_type":"code","source":"@keras.saving.register_keras_serializable()\nclass scale_to_255(Layer):\n    \"\"\"\n    Layer to Normalize the Image between values 0 and 255 to be fed to efficientnet model\n    \"\"\"\n    def __init__(self, scale = True, **kwargs):\n        super().__init__(**kwargs)\n        self.scale = scale\n\n    def call(self, x):\n        if self.scale:\n            min_val = tf.reduce_min(x)\n            max_val = tf.reduce_max(x)\n            return 255.0 * (x - min_val) / (max_val - min_val + 1e-7)\n        else:\n            print(\"layer is not acitvated!\")\n            \n    def get_config(self):\n        return {\"scale\": self.scale}","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:04:07.002118Z","iopub.execute_input":"2024-05-07T18:04:07.002503Z","iopub.status.idle":"2024-05-07T18:04:07.009424Z","shell.execute_reply.started":"2024-05-07T18:04:07.002474Z","shell.execute_reply":"2024-05-07T18:04:07.008407Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"markdown","source":"# Initialize the 3 custom Layers for Training","metadata":{}},{"cell_type":"markdown","source":"## cwt","metadata":{}},{"cell_type":"code","source":"cwt_layer = cwt.ComplexMorletCWT(\n    wavelet_width=7, \n    fs=200,         \n    stride=16,\n    border_crop=1,\n    lower_freq=0.5,     \n    upper_freq=40,      \n    n_scales=40,       \n    trainable=False    \n)","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:04:10.705553Z","iopub.execute_input":"2024-05-07T18:04:10.705918Z","iopub.status.idle":"2024-05-07T18:04:12.088303Z","shell.execute_reply.started":"2024-05-07T18:04:10.70589Z","shell.execute_reply":"2024-05-07T18:04:12.087515Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"markdown","source":"## Scale and Magnitude","metadata":{}},{"cell_type":"code","source":"# Initialize Instance for Magnitude_of_Complex_CWT Layer\nmos = Magnitude_of_Complex_CWT()\n# Initialize Instance for scale_to_255 Layer\nscale = scale_to_255()","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:04:13.477113Z","iopub.execute_input":"2024-05-07T18:04:13.477747Z","iopub.status.idle":"2024-05-07T18:04:13.483455Z","shell.execute_reply.started":"2024-05-07T18:04:13.477715Z","shell.execute_reply":"2024-05-07T18:04:13.482421Z"},"trusted":true},"execution_count":13,"outputs":[]},{"cell_type":"markdown","source":"# Building the model","metadata":{}},{"cell_type":"code","source":"eff_net_model = keras_cv.models.ImageClassifier.from_preset(\"efficientnetv2_b2_imagenet\", num_classes = 6)","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:04:16.842273Z","iopub.execute_input":"2024-05-07T18:04:16.842621Z","iopub.status.idle":"2024-05-07T18:04:22.740103Z","shell.execute_reply.started":"2024-05-07T18:04:16.842591Z","shell.execute_reply":"2024-05-07T18:04:22.739302Z"},"trusted":true},"execution_count":14,"outputs":[{"name":"stderr","text":"Attaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'model.weights.h5' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\n","output_type":"stream"}]},{"cell_type":"code","source":"def build_model_MK():\n    # Addiding the Last Dimension for compatibility with cwt_layer input shape which represent the channel axis\n    inp = tf.keras.Input(shape = (10000, 18, 1))\n    \n    scalogram_0 = cwt_layer(inp[:,:,0])\n    scalogram_0 = mos(scalogram_0)\n    scalogram_1 = cwt_layer(inp[:,:,1])\n    scalogram_1 = mos(scalogram_1)\n    scalogram_2 = cwt_layer(inp[:,:,2])\n    scalogram_2 = mos(scalogram_2)\n    scalogram_3 = cwt_layer(inp[:,:,3])\n    scalogram_3 = mos(scalogram_3)\n    scalogram_4 = cwt_layer(inp[:,:,4])\n    scalogram_4 = mos(scalogram_4)\n    scalogram_5 = cwt_layer(inp[:,:,5])\n    scalogram_5 = mos(scalogram_5)\n    scalogram_6 = cwt_layer(inp[:,:,6])\n    scalogram_6 = mos(scalogram_6)\n    scalogram_7 = cwt_layer(inp[:,:,7])\n    scalogram_7 = mos(scalogram_7)\n    scalogram_8 = cwt_layer(inp[:,:,8])\n    scalogram_8 = mos(scalogram_8)\n    scalogram_9 = cwt_layer(inp[:,:,9])\n    scalogram_9 = mos(scalogram_9)\n    scalogram_10 = cwt_layer(inp[:,:,10])\n    scalogram_10 = mos(scalogram_10)\n    scalogram_11 = cwt_layer(inp[:,:,11])\n    scalogram_11 = mos(scalogram_11)\n    scalogram_12 = cwt_layer(inp[:,:,12])\n    scalogram_12 = mos(scalogram_12)\n    scalogram_13 = cwt_layer(inp[:,:,13])\n    scalogram_13 = mos(scalogram_13)\n    scalogram_14 = cwt_layer(inp[:,:,14])\n    scalogram_14 = mos(scalogram_14)\n    scalogram_15 = cwt_layer(inp[:,:,15])\n    scalogram_15 = mos(scalogram_15)\n    scalogram_16 = cwt_layer(inp[:,:,16])\n    scalogram_16 = mos(scalogram_16)\n    scalogram_17 = cwt_layer(inp[:,:,17])\n    scalogram_17 = mos(scalogram_17)\n    x1 = tf.keras.layers.Concatenate(axis = 2)([scalogram_0, scalogram_1,scalogram_2, scalogram_3,\n                                              scalogram_4, scalogram_5, scalogram_6, scalogram_7,\n                                              scalogram_8, scalogram_9, scalogram_10, scalogram_11,\n                                              scalogram_12, scalogram_13, scalogram_14, scalogram_15,\n                                               scalogram_16, scalogram_17])\n    \n    x2 = Permute((2,1,3))(x1)\n    x3 = tf.keras.layers.Resizing(height=512, width=512, interpolation='nearest')(x2)\n    x4 = scale(x3)\n    x5 = tf.keras.layers.Concatenate(axis=3)([x4,x4,x4])\n    \n    out = eff_net_model(x5)\n    \n    final_model = Model(inputs = inp, outputs = out)\n    \n    opt = tf.keras.optimizers.Adam(learning_rate=1e-3)\n    loss = tf.keras.losses.KLDivergence()\n    final_model.compile(loss=loss, optimizer = opt)\n    \n    return final_model","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:04:29.7848Z","iopub.execute_input":"2024-05-07T18:04:29.785376Z","iopub.status.idle":"2024-05-07T18:04:29.800876Z","shell.execute_reply.started":"2024-05-07T18:04:29.785343Z","shell.execute_reply":"2024-05-07T18:04:29.8Z"},"trusted":true},"execution_count":15,"outputs":[]},{"cell_type":"markdown","source":"# Train the Model","metadata":{}},{"cell_type":"code","source":"from sklearn.model_selection import KFold, StratifiedKFold, GroupKFold\nimport tensorflow.keras.backend as K, gc\nfrom tensorflow.keras.callbacks import ModelCheckpoint\n\nVER = 10\nall_oof = []\nall_true = []\nnum_epochs = 5\ngkf = GroupKFold(n_splits = 5)\n\n\n\nfor i, (train_index, valid_index) in enumerate(gkf.split(train, train.target, train.patient_id)):\n    print('#'*25)\n    print(f'### Fold {i+1}')\n    \n    train_gen = DataGenerator(train.iloc[train_index], shuffle = True, batch_size = 32)\n    valid_gen = DataGenerator(train.iloc[valid_index], shuffle = False, batch_size = 64)\n    \n    print(f'### train size {len(train_index)}, valid size {len(valid_index)}')\n    print('#'*25)\n\n    K.clear_session()\n    eff_net_model = keras_cv.models.ImageClassifier.from_preset(\"efficientnetv2_b2_imagenet\", num_classes = 6)\n    eff_net = build_model_MK()\n    checkpoint_callback = ModelCheckpoint(filepath=f'/kaggle/working/Eff_Net_v{VER}_f{i}.keras', \n                                      monitor='val_loss', \n                                      save_best_only=True, \n                                      save_weights_only=False, \n                                      mode='min', \n                                      verbose=1)\n    eff_net.fit(train_gen, verbose = 1, validation_data = valid_gen, epochs = num_epochs, callbacks=[LR, checkpoint_callback])\n    oof = eff_net.predict(valid_gen, verbose = 1)\n    all_oof.append(oof)\n    all_true.append(train.iloc[valid_index][TARGETS].values)\n\n    del oof\n    gc.collect()\n\nall_oof = np.concatenate(all_oof)\nall_true = np.concatenate(all_true)\n\n","metadata":{"execution":{"iopub.status.busy":"2024-05-07T18:04:43.239789Z","iopub.execute_input":"2024-05-07T18:04:43.240411Z"},"trusted":true},"execution_count":null,"outputs":[{"name":"stdout","text":"#########################\n### Fold 1\n### train size 13671, valid size 3418\n#########################\n","output_type":"stream"},{"name":"stderr","text":"Attaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'model.weights.h5' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: LearningRateScheduler setting learning rate to 0.001.\nEpoch 1/5\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nI0000 00:00:1715105293.194114     138 device_compiler.h:186] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.\nW0000 00:00:1715105293.346985     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m152/428\u001b[0m \u001b[32m━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━\u001b[0m \u001b[1m4:24\u001b[0m 960ms/step - loss: 0.8896","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715105536.351650     139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1s/step - loss: 0.7634","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nW0000 00:00:1715105859.941311     139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\nW0000 00:00:1715105984.739113     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_loss improved from inf to 0.61409, saving model to /kaggle/working/Eff_Net_v10_f0.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m893s\u001b[0m 2s/step - loss: 0.7632 - val_loss: 0.6141 - learning_rate: 0.0010\n\nEpoch 2: LearningRateScheduler setting learning rate to 0.0008536998372026805.\nEpoch 2/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 931ms/step - loss: 0.4875\nEpoch 2: val_loss improved from 0.61409 to 0.60272, saving model to /kaggle/working/Eff_Net_v10_f0.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m451s\u001b[0m 1s/step - loss: 0.4875 - val_loss: 0.6027 - learning_rate: 8.5370e-04\n\nEpoch 3: LearningRateScheduler setting learning rate to 0.0005005000000000001.\nEpoch 3/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 931ms/step - loss: 0.4097\nEpoch 3: val_loss did not improve from 0.60272\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m477s\u001b[0m 1s/step - loss: 0.4097 - val_loss: 0.6214 - learning_rate: 5.0050e-04\n\nEpoch 4: LearningRateScheduler setting learning rate to 0.00014730016279731955.\nEpoch 4/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 930ms/step - loss: 0.3472\nEpoch 4: val_loss improved from 0.60272 to 0.54929, saving model to /kaggle/working/Eff_Net_v10_f0.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m457s\u001b[0m 1s/step - loss: 0.3472 - val_loss: 0.5493 - learning_rate: 1.4730e-04\n\nEpoch 5: LearningRateScheduler setting learning rate to 1e-06.\nEpoch 5/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 932ms/step - loss: 0.3164\nEpoch 5: val_loss did not improve from 0.54929\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m459s\u001b[0m 1s/step - loss: 0.3164 - val_loss: 0.5589 - learning_rate: 1.0000e-06\n\u001b[1m 1/54\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m9:39\u001b[0m 11s/step","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715107843.439087     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m54/54\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m71s\u001b[0m 1s/step \n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715107903.742986     140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"#########################\n### Fold 2\n### train size 13671, valid size 3418\n#########################\n","output_type":"stream"},{"name":"stderr","text":"Attaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'model.weights.h5' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: LearningRateScheduler setting learning rate to 0.001.\nEpoch 1/5\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nW0000 00:00:1715108046.124722     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m 62/428\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m5:46\u001b[0m 947ms/step - loss: 1.0373","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715108182.814302     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1s/step - loss: 0.7674","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nW0000 00:00:1715108535.395745     141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\nW0000 00:00:1715108587.507804     139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_loss improved from inf to 0.67760, saving model to /kaggle/working/Eff_Net_v10_f1.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m673s\u001b[0m 1s/step - loss: 0.7671 - val_loss: 0.6776 - learning_rate: 0.0010\n\nEpoch 2: LearningRateScheduler setting learning rate to 0.0008536998372026805.\nEpoch 2/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 934ms/step - loss: 0.4991\nEpoch 2: val_loss improved from 0.67760 to 0.56727, saving model to /kaggle/working/Eff_Net_v10_f1.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m454s\u001b[0m 1s/step - loss: 0.4990 - val_loss: 0.5673 - learning_rate: 8.5370e-04\n\nEpoch 3: LearningRateScheduler setting learning rate to 0.0005005000000000001.\nEpoch 3/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 933ms/step - loss: 0.4265\nEpoch 3: val_loss improved from 0.56727 to 0.56166, saving model to /kaggle/working/Eff_Net_v10_f1.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m451s\u001b[0m 1s/step - loss: 0.4265 - val_loss: 0.5617 - learning_rate: 5.0050e-04\n\nEpoch 4: LearningRateScheduler setting learning rate to 0.00014730016279731955.\nEpoch 4/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 933ms/step - loss: 0.3669\nEpoch 4: val_loss improved from 0.56166 to 0.51717, saving model to /kaggle/working/Eff_Net_v10_f1.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m451s\u001b[0m 1s/step - loss: 0.3668 - val_loss: 0.5172 - learning_rate: 1.4730e-04\n\nEpoch 5: LearningRateScheduler setting learning rate to 1e-06.\nEpoch 5/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 934ms/step - loss: 0.3332\nEpoch 5: val_loss improved from 0.51717 to 0.50839, saving model to /kaggle/working/Eff_Net_v10_f1.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m503s\u001b[0m 1s/step - loss: 0.3332 - val_loss: 0.5084 - learning_rate: 1.0000e-06\n\u001b[1m 1/54\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m9:20\u001b[0m 11s/step","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715110460.543255     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m54/54\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m66s\u001b[0m 1s/step \n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715110515.500978     141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"#########################\n### Fold 3\n### train size 13671, valid size 3418\n#########################\n","output_type":"stream"},{"name":"stderr","text":"Attaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'model.weights.h5' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: LearningRateScheduler setting learning rate to 0.001.\nEpoch 1/5\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nW0000 00:00:1715110660.053032     141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m395/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m30s\u001b[0m 935ms/step - loss: 0.7748","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715111110.844550     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1s/step - loss: 0.7655","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nW0000 00:00:1715111154.344116     140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\nW0000 00:00:1715111255.296418     139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_loss improved from inf to 0.58674, saving model to /kaggle/working/Eff_Net_v10_f2.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m730s\u001b[0m 1s/step - loss: 0.7653 - val_loss: 0.5867 - learning_rate: 0.0010\n\nEpoch 2: LearningRateScheduler setting learning rate to 0.0008536998372026805.\nEpoch 2/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 947ms/step - loss: 0.4954\nEpoch 2: val_loss did not improve from 0.58674\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m480s\u001b[0m 1s/step - loss: 0.4954 - val_loss: 0.5912 - learning_rate: 8.5370e-04\n\nEpoch 3: LearningRateScheduler setting learning rate to 0.0005005000000000001.\nEpoch 3/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 950ms/step - loss: 0.4173\nEpoch 3: val_loss improved from 0.58674 to 0.51930, saving model to /kaggle/working/Eff_Net_v10_f2.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m475s\u001b[0m 1s/step - loss: 0.4173 - val_loss: 0.5193 - learning_rate: 5.0050e-04\n\nEpoch 4: LearningRateScheduler setting learning rate to 0.00014730016279731955.\nEpoch 4/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 935ms/step - loss: 0.3593\nEpoch 4: val_loss improved from 0.51930 to 0.50719, saving model to /kaggle/working/Eff_Net_v10_f2.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m453s\u001b[0m 1s/step - loss: 0.3593 - val_loss: 0.5072 - learning_rate: 1.4730e-04\n\nEpoch 5: LearningRateScheduler setting learning rate to 1e-06.\nEpoch 5/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 935ms/step - loss: 0.3316\nEpoch 5: val_loss did not improve from 0.50719\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m488s\u001b[0m 1s/step - loss: 0.3316 - val_loss: 0.5258 - learning_rate: 1.0000e-06\n\u001b[1m 1/54\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m9:12\u001b[0m 10s/step","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715113164.076986     139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m54/54\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m66s\u001b[0m 1s/step \n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715113219.879953     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"#########################\n### Fold 4\n### train size 13671, valid size 3418\n#########################\n","output_type":"stream"},{"name":"stderr","text":"Attaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'model.weights.h5' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: LearningRateScheduler setting learning rate to 0.001.\nEpoch 1/5\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nW0000 00:00:1715113370.894082     139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m170/428\u001b[0m \u001b[32m━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━\u001b[0m \u001b[1m4:01\u001b[0m 938ms/step - loss: 0.8454","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715113613.661740     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1s/step - loss: 0.7420","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nW0000 00:00:1715113871.271556     141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\nW0000 00:00:1715113968.412774     141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_loss improved from inf to 0.64910, saving model to /kaggle/working/Eff_Net_v10_f3.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m737s\u001b[0m 1s/step - loss: 0.7417 - val_loss: 0.6491 - learning_rate: 0.0010\n\nEpoch 2: LearningRateScheduler setting learning rate to 0.0008536998372026805.\nEpoch 2/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 937ms/step - loss: 0.4908\nEpoch 2: val_loss improved from 0.64910 to 0.60496, saving model to /kaggle/working/Eff_Net_v10_f3.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m508s\u001b[0m 1s/step - loss: 0.4908 - val_loss: 0.6050 - learning_rate: 8.5370e-04\n\nEpoch 3: LearningRateScheduler setting learning rate to 0.0005005000000000001.\nEpoch 3/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 937ms/step - loss: 0.4104\nEpoch 3: val_loss improved from 0.60496 to 0.54652, saving model to /kaggle/working/Eff_Net_v10_f3.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m503s\u001b[0m 1s/step - loss: 0.4104 - val_loss: 0.5465 - learning_rate: 5.0050e-04\n\nEpoch 4: LearningRateScheduler setting learning rate to 0.00014730016279731955.\nEpoch 4/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 942ms/step - loss: 0.3540\nEpoch 4: val_loss improved from 0.54652 to 0.53466, saving model to /kaggle/working/Eff_Net_v10_f3.keras\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m500s\u001b[0m 1s/step - loss: 0.3540 - val_loss: 0.5347 - learning_rate: 1.4730e-04\n\nEpoch 5: LearningRateScheduler setting learning rate to 1e-06.\nEpoch 5/5\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 947ms/step - loss: 0.3138\nEpoch 5: val_loss did not improve from 0.53466\n\u001b[1m428/428\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m504s\u001b[0m 1s/step - loss: 0.3138 - val_loss: 0.5364 - learning_rate: 1.0000e-06\n\u001b[1m 1/54\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m10:30\u001b[0m 12s/step","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715115999.361232     140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m54/54\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m86s\u001b[0m 1s/step\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715116073.907117     138 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"#########################\n### Fold 5\n### train size 13672, valid size 3417\n#########################\n","output_type":"stream"},{"name":"stderr","text":"Attaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'config.json' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\nAttaching 'model.weights.h5' from model 'keras/efficientnetv2/keras/efficientnetv2_b2_imagenet/2' to your Kaggle notebook...\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: LearningRateScheduler setting learning rate to 0.001.\nEpoch 1/5\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\nW0000 00:00:1715116237.840758     140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m211/428\u001b[0m \u001b[32m━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━\u001b[0m \u001b[1m3:17\u001b[0m 912ms/step - loss: 0.8381","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1715116548.831509     139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m244/428\u001b[0m \u001b[32m━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━\u001b[0m \u001b[1m4:16\u001b[0m 1s/step - loss: 0.8203","output_type":"stream"}]},{"cell_type":"code","source":"# Overall Cross Validation","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from scipy.stats import entropy\nkl_divergence = np.mean([entropy(all_true[i], all_oof[i]) for i in range(len(all_true))])","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"CV: 0.54 ","metadata":{}}]}