Repository revision
0:818896cd2213

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/0.4.0
0.4.0
echo "0.4.0"
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/0.4.2
toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder/keras_model_builder/0.4.0 (this tool)
keras_model_builder
Requirements (dependencies defined in the <requirements> tag set)
name version type
python 3.6 package
Galaxy-ML 0.7.10 package
Functional tests
name inputs outputs required files
Test-1 mode_selection|infile_json: keras01.json
mode_selection|fit_params|epochs: 100
mode_selection|learning_type: KerasGRegressor
attributes: name
keras01.json
name
Test-2 mode_selection|infile_json: keras02.json
mode_selection|compile_params|optimizer_selection|optimizer_type: Adam
mode_selection|fit_params|epochs: 100
attributes: name
keras02.json
name
Test-3 mode_selection|infile_json: keras03.json
mode_selection|infile_weights: keras_save_weights01.h5
mode_selection|mode_type: prefitted
attributes: name
keras03.json
keras_save_weights01.h5
name
Test-4 mode_selection|compile_params|metrics: mse
mode_selection|compile_params|loss: mean_squared_error
mode_selection|fit_params|epochs: 100
mode_selection|learning_type: KerasGRegressor
mode_selection|infile_json: keras04.json
mode_selection|compile_params|optimizer_selection|optimizer_type: Adam
mode_selection|get_params: True
mode_selection|random_seed: 42
attributes: name
attributes: name
keras04.json
name