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/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
Additional information about this tool
python '$__tool_directory__/keras_deep_learning.py'
                --inputs '$inputs'
                --tool_id 'keras_model_builder'
                --outfile '$outfile'
                --model_json '$mode_selection.infile_json'
                #if $mode_selection.mode_type == 'prefitted'
                --infile_weights '$mode_selection.infile_weights'
                    #end if
                #if $mode_selection.mode_type == 'train_model' and $mode_selection.get_params
                --outfile_params '$outfile_params'
                #end if
        
    
None
False
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