Miscellaneous |
Version lineage of this tool (guids ordered most recent to oldest) |
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_config/keras_model_config/1.0.11.0 |
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_config/keras_model_config/1.0.10.0 (this tool) |
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_config/keras_model_config/0.5.0 |
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_config/keras_model_config/0.4.2 |
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_config/keras_model_config/0.4.0 |
keras_model_config |
Requirements (dependencies defined in the <requirements> tag set) |
name | version | type |
python | 3.9 | package |
galaxy-ml | 0.10.0 | package |
Functional tests |
name | inputs | outputs | required files |
Test-1 |
model_selection|input_shape: (32, 32, 3) model_selection|layers_0|layer_selection|filters: 32 model_selection|layers_0|layer_selection|kernel_size: (3, 3) model_selection|layers_0|layer_selection|activation: relu model_selection|layers_0|layer_selection|kwargs: padding='same' model_selection|layers_0|layer_selection|layer_type: Conv2D model_selection|layers_1|layer_selection|pool_size: (2, 2) model_selection|layers_1|layer_selection|layer_type: MaxPooling2D model_selection|layers_2|layer_selection|rate: 0.25 model_selection|layers_2|layer_selection|layer_type: Dropout model_selection|layers_3|layer_selection|filters: 64 model_selection|layers_3|layer_selection|kernel_size: (3, 3) model_selection|layers_3|layer_selection|activation: relu model_selection|layers_3|layer_selection|kwargs: padding='same' model_selection|layers_3|layer_selection|layer_type: Conv2D model_selection|layers_4|layer_selection|pool_size: (2, 2) model_selection|layers_4|layer_selection|layer_type: MaxPooling2D model_selection|layers_5|layer_selection|rate: 0.25 model_selection|layers_5|layer_selection|layer_type: Dropout model_selection|layers_6|layer_selection|layer_type: Flatten model_selection|layers_7|layer_selection|units: 512 model_selection|layers_7|layer_selection|activation: relu model_selection|layers_7|layer_selection|layer_type: Dense model_selection|layers_8|layer_selection|rate: 0.5 model_selection|layers_8|layer_selection|layer_type: Dropout model_selection|layers_9|layer_selection|units: 10 model_selection|layers_9|layer_selection|activation: softmax model_selection|layers_9|layer_selection|layer_type: Dense model_selection|model_type: sequential |
name: value |
value |
Test-2 |
model_selection|input_shape: (784, ) model_selection|layers_0|layer_selection|units: 32 model_selection|layers_0|layer_selection|layer_type: Dense model_selection|layers_1|layer_selection|activation: relu model_selection|layers_1|layer_selection|layer_type: Activation model_selection|layers_2|layer_selection|units: 10 model_selection|layers_2|layer_selection|layer_type: Dense model_selection|layers_3|layer_selection|activation: softmax model_selection|layers_3|layer_selection|layer_type: Activation model_selection|model_type: sequential |
name: value |
value |
Test-3 |
model_selection|layers_0|layer_selection|shape: (100, ) model_selection|layers_0|layer_selection|name: main_input model_selection|layers_0|layer_selection|dtype: int32 model_selection|layers_0|layer_selection|layer_type: Input model_selection|layers_1|layer_selection|input_dim: 10000 model_selection|layers_1|layer_selection|output_dim: 512 model_selection|layers_1|layer_selection|kwargs: input_length=100 model_selection|layers_1|layer_selection|inbound_nodes: 1 model_selection|layers_1|layer_selection|layer_type: Embedding model_selection|layers_2|layer_selection|units: 32 model_selection|layers_2|layer_selection|inbound_nodes: 2 model_selection|layers_2|layer_selection|layer_type: LSTM model_selection|layers_3|layer_selection|units: 1 model_selection|layers_3|layer_selection|activation: sigmoid model_selection|layers_3|layer_selection|inbound_nodes: 3 model_selection|layers_3|layer_selection|layer_type: Dense model_selection|layers_4|layer_selection|shape: (5, ) model_selection|layers_4|layer_selection|name: aux_input model_selection|layers_4|layer_selection|dtype: float32 model_selection|layers_4|layer_selection|layer_type: Input model_selection|layers_5|layer_selection|merging_layers: [4, 5] model_selection|layers_5|layer_selection|layer_type: Concatenate model_selection|layers_6|layer_selection|units: 64 model_selection|layers_6|layer_selection|activation: relu model_selection|layers_6|layer_selection|inbound_nodes: 6 model_selection|layers_6|layer_selection|layer_type: Dense model_selection|layers_7|layer_selection|units: 64 model_selection|layers_7|layer_selection|activation: relu model_selection|layers_7|layer_selection|inbound_nodes: 7 model_selection|layers_7|layer_selection|layer_type: Dense model_selection|layers_8|layer_selection|units: 64 model_selection|layers_8|layer_selection|activation: relu model_selection|layers_8|layer_selection|inbound_nodes: 8 model_selection|layers_8|layer_selection|layer_type: Dense model_selection|layers_9|layer_selection|units: 1 model_selection|layers_9|layer_selection|activation: sigmoid model_selection|layers_9|layer_selection|inbound_nodes: 9 model_selection|layers_9|layer_selection|layer_type: Dense model_selection|input_layers: [1, 5] model_selection|output_layers: [4, 10] model_selection|model_type: functional |
name: value |
value |
Test-4 |
model_selection|input_shape: (17, ) model_selection|layers_0|layer_selection|units: 32 model_selection|layers_0|layer_selection|layer_type: Dense model_selection|layers_1|layer_selection|activation: linear model_selection|layers_1|layer_selection|layer_type: Activation model_selection|layers_2|layer_selection|units: 1 model_selection|layers_2|layer_selection|layer_type: Dense model_selection|layers_3|layer_selection|activation: linear model_selection|layers_3|layer_selection|layer_type: Activation model_selection|model_type: sequential |
name: value |
value |
Test-5 |
model_selection|input_shape: (17, ) model_selection|layers_0|layer_selection|units: 100 model_selection|layers_0|layer_selection|layer_type: Dense model_selection|layers_1|layer_selection|rate: 0.1 model_selection|layers_1|layer_selection|layer_type: Dropout model_selection|layers_2|layer_selection|units: 1 model_selection|layers_2|layer_selection|layer_type: Dense model_selection|model_type: sequential |
name: value |
value |