borisRa

OSError: [Errno 28] No space left on device

13

Hi, Hi, How can I prevent the space error bellow ? ``` Traceback (most recent call last): File "/anaconda/lib/python3.6/multiprocessing/pool.py", line 119, in worker result = (True, func(*args, **kwds)) File "/anaconda/lib/python3.6/multiprocessing/pool.py",...

parallel_apply

2

Hi, I have relatively big pandas df , trying to run 'parallel_apply' sometimes it take huge timse to start and sometimes it is just stuck. Example : pandarallel.initialize(nb_workers= min(int( os.cpu_count()...

Segmentation fault (core dumped) & Cannot change linear_tree after constructed Dataset handle

12

## Description Hi, Working with parameter : linear_tree = True The ipython core is dumping with this message : `Segmentation fault (core dumped)` And working with Optuna when `linear_tree `is...

Ability to run distribution analysis regarding to a target feature

3

Hi, Is it possible to run distribution analysis regarding to a target feature ? For example in Titanic data, to show how "Survived" is affected by each variable. For example...

Using percentages instead of counts to compare distribution of two tables

2

Hi, How can I compare between train/test distributions ? Using this code : `plot_diff([train_df[train_df.columns[~train_df.columns.isin(['Survived'])]], test_df],config={"diff.label": ["train_df", "test_df"]})` I am getting counts as is , I would like to compare percentage...

Multiple inputs

3

### Feature Description To be able to get multiple network inputs ### Code Example ```python import autokeras as ak input_node_1 = ak.Input() input_node_2 = ak.Input() input_node_1 = ak.ConvBlock()(input_node_1) concanted_ONE_input =...

Standardized output format for Checks

6

Hi, ``` columns_metadata = {'cat_features' : categorical_cols, 'label':y_label_col } train_dataset = Dataset(df = train_df , **columns_metadata) test_dataset = Dataset(df = test_df , **columns_metadata ) custom_drift_suite = Suite('My_custom_drift_suite', FeatureDrift().add_condition_drift_score_less_than( max_allowed_categorical_score=0.2, max_allowed_numeric_score=0.2),...