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)(1) | Automatically created scikit-learn flow. |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_epochs | 1 |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_batch_size | 1000 |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_verbose | 1 |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_build_fn | {"layer0": [["class_name", "Reshape"], ["config", {"batch_input_shape": [null, 784], "dtype": "float32", "name": "reshape_270", "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_539", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}]], "layer2": [["class_name", "MaxPooling2D"], ["config", {"data_format": "channels_last", "name": "max_pooling2d_539", "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_540", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}]], "layer4": [["class_name", "MaxPooling2D"], ["config", {"data_format": "channels_last", "name": "max_pooling2d_540", "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)(1)_layer0 | {"class_name": "Reshape", "config": {"batch_input_shape": [null, 784], "dtype": "float32", "name": "reshape_254", "target_shape": [28, 28, 1], "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_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_507", "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)(1)_layer2 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_507", "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)(1)_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_508", "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)(1)_layer4 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_508", "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)(1)_layer5 | {"class_name": "Flatten", "config": {"name": "flatten_254", "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_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_507", "trainable": true, "units": 20, "use_bias": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_layer7 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_507", "trainable": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_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_508", "trainable": true, "units": 10, "use_bias": true}} |
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(1)_layer9 | {"class_name": "Activation", "config": {"activation": "softmax", "name": "activation_508", "trainable": true}} |
0.7749 ± 0.1678 Per class Cross-validation details (10-fold Crossvalidation)
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0.3609 ± 0.2077 Per class Cross-validation details (10-fold Crossvalidation)
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0.3113 ± 0.2754 Cross-validation details (10-fold Crossvalidation)
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22000.436 ± 1906.0312 Cross-validation details (10-fold Crossvalidation)
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0.1337 ± 0.044 Cross-validation details (10-fold Crossvalidation)
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0.1799 ± 0 Cross-validation details (10-fold Crossvalidation)
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70000 Per class Cross-validation details (10-fold Crossvalidation) |
0.5138 ± 0.1624 Per class Cross-validation details (10-fold Crossvalidation)
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0.3833 ± 0.2446 Cross-validation details (10-fold Crossvalidation)
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3.3198 Cross-validation details (10-fold Crossvalidation)
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0.3833 ± 0.2446 Per class Cross-validation details (10-fold Crossvalidation)
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0.7429 ± 0.2447 Cross-validation details (10-fold Crossvalidation)
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0.3 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.2721 ± 0.0663 Cross-validation details (10-fold Crossvalidation)
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0.907 ± 0.2209 Cross-validation details (10-fold Crossvalidation)
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