-
Getting these errors while training in perform mode.
```
automl = AutoML(mode='perform', results_path=model_path, total_time_limit=24*3600, eval_metric='auto', random_state=0)
automl.fit(X_train,…
-
I noticed that you're reporting logloss as the metric to evaluate systems, but you're not passing this information to any of the AutoML systems. Both auto-sklearn and H2O AutoML (maybe MLJar too?) ha…
-
Hi Gordon,
I've seen your post on Reddit. I'm working on a new framework for building web apps from Jupyter Notebooks. It is called Mercury (https://github.com/mljar/mercury) You can try it on your…
-
After training Compete mode, I'm getting this error when trying to load the model
```
automl = AutoML(mode='Compete', results_path=model_path, total_time_limit=24*3600, eval_metric=sign_penalty)
…
-
in base_automl.py there is the following configuration :
font-family: Arial
it causes ubunto docker containers running mljar to write the following message extensively:
WARNING | matplotlib.fon…
-
Traceback (most recent call last):
File "/opt/conda/lib/python3.11/site-packages/pandas/core/arrays/datetimelike.py", line 935, in _cmp_method
other = self._validate_comparison_value(other)
…
-
Running Dockerfile and Python script provided on https://supervised.mljar.com/ crashes due to missing fonts (?):
![screenshot_101](https://user-images.githubusercontent.com/2963340/215352310-26b19…
-
Hello!
I want to upload the models I trained on GitHub to use them on other devices.
However, MLJAR generates too many output files, and uploading them all to GitHub is a bit burdensome.
Should …
-
Hi, I'm trying to train models with really large Datasets, up to 100Gb.
Is MLJAR integrated with Dask? if so, do you know how?
If not, how can I parallelize or handle this kind of datasets?
Bes…
-
Let's select MLPClassifier.
In MLPClassifier there is `loss_curve_` available. If there is `early_stopping` enabled then some part of the data is used as validation. Can we save the loss of trainin…