Lukasz Mentel lmmentel
ledmaster
/ MultipleTimeSeriesForecasting.ipynb
Last active
September 24, 2024 15:14
How To Predict Multiple Time Series With Scikit-Learn (With a Sales Forecasting Example)
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| from bokeh.plotting import figure, ColumnDataSource | |
| from bokeh.models import HoverTool | |
| def scatter_with_hover(df, x, y, | |
| fig=None, cols=None, name=None, marker='x', | |
| fig_width=500, fig_height=500, **kwargs): | |
| """ | |
| Plots an interactive scatter plot of `x` vs `y` using bokeh, with automatic | |
| tooltips showing columns from `df`. |
agramfort
/ ranking.py
Created
March 18, 2012 13:10
— forked from fabianp/ranking.py
Pairwise ranking using scikit-learn LinearSVC
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| """ | |
| Implementation of pairwise ranking using scikit-learn LinearSVC | |
| Reference: "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich, | |
| T. Graepel, K. Obermayer. | |
| Authors: Fabian Pedregosa <[email protected]> | |
| Alexandre Gramfort <[email protected]> | |
| """ |