Run 9204012

Task 168298 (Supervised Classification) USPS Uploaded 27-06-2018 by Irfan Nur Afif
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keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPo oling2D,Activation,Flatten,Dense,Dense,Dense)(1)	Automatically created scikit-learn flow.
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_batch_size	32
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_build_fn	{"oml-python:serialized_object": "function", "value": "__main__.functional_api_model"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_epochs	1
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer0	{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 256], "dtype": "float32", "name": "input_82", "sparse": false}, "inbound_nodes": [], "name": "input_82"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer1	{"class_name": "Reshape", "config": {"name": "reshape_98", "target_shape": [16, 16, 1], "trainable": true}, "inbound_nodes": [[["input_83", 0, 0, {}]]], "name": "reshape_98"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer2	{"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 6, "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_156", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["reshape_99", 0, 0, {}]]], "name": "conv2d_156"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer3	{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_155", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv2d_157", 0, 0, {}]]], "name": "max_pooling2d_155"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer4	{"class_name": "Activation", "config": {"activation": "sigmoid", "name": "activation_160", "trainable": true}, "inbound_nodes": [[["max_pooling2d_156", 0, 0, {}]]], "name": "activation_160"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer5	{"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_100", "trainable": true}, "inbound_nodes": [[["activation_161", 0, 0, {}]]], "name": "flatten_100"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer6	{"class_name": "Dense", "config": {"activation": "relu", "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_332", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["flatten_101", 0, 0, {}]]], "name": "dense_332"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer7	{"class_name": "Dense", "config": {"activation": "relu", "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_336", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["dense_335", 0, 0, {}]]], "name": "dense_336"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_layer8	{"class_name": "Dense", "config": {"activation": "softmax", "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_340", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["dense_339", 0, 0, {}]]], "name": "dense_340"}
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Activation,Flatten,Dense,Dense,Dense)(1)_verbose	1