Repository revision
13:772e0e89fc68

Repository 'keras_model_builder'
hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder

Create deep learning model tool metadata
Miscellaneous
with an optimizer, loss function and fit parameters
keras_model_builder
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder/keras_model_builder/0.5.0
0.5.0
echo "0.5.0"
True
Version lineage of this tool (guids ordered most recent to oldest)
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder/keras_model_builder/1.0.10.0
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder/keras_model_builder/0.5.0 (this tool)
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder/keras_model_builder/0.4.2
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder/keras_model_builder/0.4.0
keras_model_builder
Requirements (dependencies defined in the <requirements> tag set)
name version type
Galaxy-ML 0.8.3 package
Functional tests
name inputs outputs required files
Test-1 mode_selection|infile_json: keras01.json
mode_selection|learning_type: KerasGRegressor
mode_selection|fit_params|epochs: 100
name: value
keras01.json
value
Test-2 mode_selection|infile_json: keras02.json
mode_selection|compile_params|optimizer_selection|optimizer_type: Adam
mode_selection|fit_params|epochs: 100
name: value
keras02.json
value
Test-3 mode_selection|infile_json: keras03.json
mode_selection|infile_weights: keras_save_weights01.h5
mode_selection|mode_type: prefitted
name: value
keras03.json
keras_save_weights01.h5
value
Test-4 mode_selection|infile_json: keras04.json
mode_selection|learning_type: KerasGRegressor
mode_selection|compile_params|loss: mean_squared_error
mode_selection|compile_params|optimizer_selection|optimizer_type: Adam
mode_selection|compile_params|metrics: mse
mode_selection|fit_params|epochs: 100
mode_selection|random_seed: 42
mode_selection|get_params: True
name: value
name: value
keras04.json
value