Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.
if (
collections.Counter(cls) == collections.Counter(dfs_class)
and collections.Counter(reg) == collections.Counter(dfs_reg)
and collections.Counter(pip) != collections.Counter(options_end)
)
This allow comparison only if there are the same classification and regression dataframe and if the end lifetime is different, note that now
Make attention to line 165 of utils.py:
This allow comparison only if there are the same classification and regression dataframe and if the end lifetime is different, note that now