Issue | #Downvotes for this reason | By |
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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Con v2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3) | Automatically created scikit-learn flow. |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_batch_size | 1000 |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_build_fn | {"oml-python:serialized_object": "function", "value": "__main__.create_model"} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_epochs | 1 |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer0 | {"class_name": "Reshape", "config": {"batch_input_shape": [null, 256], "dtype": "float32", "name": "reshape_133", "target_shape": [16, 16, 1], "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer1 | {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "batch_input_shape": [null, 28, 28, 1], "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 20, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [5, 5], "name": "conv2d_265", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer2 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_265", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer3 | {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 50, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [5, 5], "name": "conv2d_266", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer4 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_266", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer5 | {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_133", "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer6 | {"class_name": "Dense", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_265", "trainable": true, "units": 20, "use_bias": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer7 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_265", "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer8 | {"class_name": "Dense", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_266", "trainable": true, "units": 10, "use_bias": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer9 | {"class_name": "Activation", "config": {"activation": "softmax", "name": "activation_266", "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_verbose | 1 |
0.6486 ± 0.0471 Per class Cross-validation details (10-fold Crossvalidation)
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0.344 Per class |
0.2934 ± 0.0946 Cross-validation details (10-fold Crossvalidation)
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2973.1185 ± 80.9692 Cross-validation details (10-fold Crossvalidation)
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0.1245 ± 0.0176 Cross-validation details (10-fold Crossvalidation)
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0.1785 ± 0 Cross-validation details (10-fold Crossvalidation)
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9298 Per class Cross-validation details (10-fold Crossvalidation) |
0.391 Per class |
0.3774 ± 0.088 Cross-validation details (10-fold Crossvalidation)
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3.2729 Cross-validation details (10-fold Crossvalidation)
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0.3774 ± 0.088 Per class Cross-validation details (10-fold Crossvalidation)
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0.6977 ± 0.0986 Cross-validation details (10-fold Crossvalidation)
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0.2987 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.3529 ± 0.0259 Cross-validation details (10-fold Crossvalidation)
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1.1812 ± 0.0866 Cross-validation details (10-fold Crossvalidation)
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