fix(map-generator): improve continent generation
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@ -46,9 +46,9 @@ class TuneB(tune.Trainable):
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return self.model.restore(path)
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A_params = {
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'batch_size': tune.grid_search([5, 16, 32, 64]),
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'layers': tune.grid_search([[16, 16], [32, 32], [128, 128]]),
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'lr': tune.grid_search([1e-4, 1e-3, 1e-2]),
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'batch_size': tune.grid_search([32]),
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'layers': tune.grid_search([[32, 32]]),
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'lr': tune.grid_search([1e-4]),
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'optimizer': tune.grid_search([tf.keras.optimizers.Adam]),
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}
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@ -102,7 +102,7 @@ def dataframe_to_dataset_temp_precip(df):
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tf_output = np.concatenate((tf_output, df[output].values), axis=0)
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tf_inputs = tf.cast(normalize_ndarray(tf_inputs), tf.float32)
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tf_output = tf.cast(tf_output, tf.float32)
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tf_output = tf.cast(normalize_ndarray(tf_output), tf.float32)
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logger.debug('dataset size: rows=%d, input_columns=%d, num_classes=%d', int(tf_inputs.shape[0]), input_columns, num_classes)
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return int(tf_inputs.shape[0]), input_columns, num_classes, None, tf.data.Dataset.from_tensor_slices((tf_inputs, tf_output))
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