adrianantico / retrofit Goto Github PK

Need to set up a function to load models for scoring purposes

Needs to set up a function to save selected models to file for later use

Depends on target type, but replicate existing plots from RemixAutoML

Currently I'm using data conversion to Pandas frames to create model data but I want to switch it to numpy conversion as it's faster

The FE0_AutoDiff function uses imports from datatable to manipulate the data but these imports do not work on polars dataframes. I think it is missing a conditional processing block that will process a dataframe using polars' methods.

>>> areas.to_list()
['FLC', 'WAW', 'UTN', 'LAR', 'LAX', 'PHX', 'MIE', 'ATL', 'DFN', 'ONT']
>>> new_data = fe.FE0_AutoDiff(data, DateColumnName="dates", DiffNumericVariables=areas.to_list(), InputFrame="polars", OutputFrame="polars", Processing="polars")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\ProgramData\Miniconda3\lib\site-packages\retrofit\FeatureEngineering.py", line 617, in FE0_AutoDiff
    data = data[:, f[:].extend({Ref2: dt.shift(f[rcn], n = NLag2)})]
UnboundLocalError: local variable 'f' referenced before assignment

Create Master Class for Plotting and subclasses for plotting library used. Plotting libraries should include:

• plotly
• matplotlib
• seaborn

Plotting functions should include:

• ScatterPlot()
• LinePlot()
• BarPlot()
• Histogram()
• 3D_ScatterPlot()
• HeatMap()