Does trainStart and trainEnd not support date formats anymore?

[anfederico]

Does trainStart and trainEnd not support date formats anymore?

[oppsig]

Thanks a lot, tried this but still caught same error. Gonna play around to see if i can manage to get it it work but if you want to take a look, then here is my entire script.

https://pastebin.com/KWVGETZg

When i convert the 'Date' column data with 'to_datetime' does it get converted to some sort of object?
The conversion works fine but i guess backtest.start is having problems looping threw the dates (trainStart, trainEnd ect) for some reason.
Can datetime have different formats, like the one your telling me to convert to '%Y-%m-%d

I also changed this to use the same format. Will i need to convert this also to datetime or does your module do this?

trainStart = '2015-11-01'       # Start of training period
trainEnd   = '2017-11-01'       # End of training period
testStart  = '2017-11-02'       # Start of testing period
testEnd   = '2017-11-17'       # End of testing period

Here's the error.

Traceback (most recent call last):
  File "clair2.py", line 36, in <module>
    backtest.start(data, kernel='rbf', C=1, gamma=10)
  File "/home/kodi/.local/lib/python3.5/site-packages/clairvoyant/engine.py", line 197, in start
    Engine.start(self, data, **kwargs)
  File "/home/kodi/.local/lib/python3.5/site-packages/clairvoyant/engine.py", line 50, in start
    for i in range(self.trainStr, self.trainEnd+1):
TypeError: Can't convert 'int' object to str implicitly

[anfederico]

Getting your data ready is actually separate from the module. You can do it however you want. All you need to do is make sure your data column in your pandas dataframe is converted to datetime.

Looking at your CSV file, you want to do something like this

import pandas as pd

data = read_csv("file.csv")                                                                                                                                      
data = data.round(3)                                                                                                       
data['Date'] = pd.to_datetime(data.Date, format="%Y-%m-%d")                                                                                          

# 2015-01-02 = %Y-%m-%d

Also, what are the features you're using?

[anfederico]

Closing this, use a numerical index on your dataframe if you're still having issues.