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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)

keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)

Visibility: public Uploaded 25-05-2018 by Hall sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 5 runs
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  • openml-python python scikit-learn sklearn sklearn_0.19.1
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Automatically created scikit-learn flow.

Parameters

batch_sizedefault: 1000
build_fndefault: {"layer0": [["class_name", "Reshape"], ["config", {"batch_input_shape": [null, 784], "dtype": "float32", "name": "reshape_146", "target_shape": [28, 28, 1], "trainable": true}]], "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_291", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}]], "layer2": [["class_name", "MaxPooling2D"], ["config", {"data_format": "channels_last", "name": "max_pooling2d_291", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}]], "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_292", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}]], "layer4": [["class_name", "MaxPooling2D"], ["config", {"data_format": "channels_last", "name": "max_pooling2d_292", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}]]}
epochsdefault: 1
layer0default: {"class_name": "Reshape", "config": {"batch_input_shape": [null, 784], "dtype": "float32", "name": "reshape_144", "target_shape": [28, 28, 1], "trainable": true}}
layer1default: {"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_287", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
layer2default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_287", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
layer3default: {"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_288", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
layer4default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_288", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
layer5default: {"class_name": "Flatten", "config": {"name": "flatten_144", "trainable": true}}
layer6default: {"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_287", "trainable": true, "units": 20, "use_bias": true}}
layer7default: {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_287", "trainable": true}}
layer8default: {"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_288", "trainable": true, "units": 10, "use_bias": true}}
layer9default: {"class_name": "Activation", "config": {"activation": "softmax", "name": "activation_288", "trainable": true}}
verbosedefault: 1

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