Lukasz Borecki

Issue with Max_depth in tfdf

1

``` df_and_nn_model = tfdf.keras.GradientBoostedTreesModel(preprocessing=regmodel_wo_head, task=tfdf.keras.Task.REGRESSION, num_trees=500, max_depth=2, max_num_nodes=-1, min_examples=5, validation_ratio=0.2, subsample=0.9, early_stopping='MIN_LOSS_FINAL', shrinkage=0.001) ``` and after ``` df_and_nn_model.compile(metrics=[tf.keras.metrics.RootMeanSquaredError()]) with sys_pipes(): df_and_nn_model.fit(train_dataset, validation_data=val_dataset) ``` ``` [INFO kernel.cc:772] Configure learner [FATAL hyper_parameters.cc:49]...

Hello, I am interested to make one to many GAN images from one domain to another. I have added noise vector into input of UNET_256. Unfortunately, generated images vary but...