Machine learning in trading: theory, models, practice and algo-trading - page 2113
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I like Near-Miss better (from the pictures)
The pictures are nice - but you have to try.
I must have changed it in the wrong place.
Please check what's wrong.
it is not X, y but data_X, data_y
if you use under-sampling (decreasing number of samples of major class), you'd better collect a lot of data, otherwise the output will be too small (by the size of minor class)
it's not X, y but data_X, data_y
cc = ClusterCentroids(random_state=0) x_resampled, y_resampled = cc.fit_resample(data_X, data_y)
Aleksey ... )))
Dataset must be loaded and all the steps in the notebook. What is printed there now - is the stored information, these objects no longer exist
Alexei... )))
dataset has to be loaded and all the steps in the notebook. What is printed there now is stored information, these objects no longer exist
And the archive can be downloaded and unzipped there?
And the archive can be downloaded and unzipped there?
https://stackoverflow.com/questions/3451111/unzipping-files-in-python I'm on my phone. If I can't do it tomorrow, I will. You can also download the archive to Google disk once and then copy it to GoogleClub. If you have bad internet. You can open zips at once.https://stackoverflow.com/questions/18885175/read-a-zipped-file-as-a-pandas-dataframe. And savehttps://www.google.ru/amp/s/cmdlinetips.com/2020/05/how-to-save-pandas-dataframe-as-gzip-zip-file/amp/
Nothing came out yet - I will try again tomorrow.
So far it hasn't worked - I'll try again tomorrow.
reading
data = pd.read_csv('exam.zip', sep=';')
write
compression=dict(method='zip', archive_name='exam.csv'))
updated my laptop
reading
data = pd.read_csv('exam.zip', sep=';')
write
compression=dict(method='zip', archive_name='exam.csv'))
updated my laptop
Thank you! It all worked out.
I think I have it right - only train transform, because on the test just goes control - so I did, but the result is very strange - error logloss exceeds 1 on the test sample and grows - how can it be - I'm shocked.
Maxim, how do you set this thing up?
What is id_tl ?