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The code has multiple reference to web addresses using "http://" instead of the more secure "https://". Is it not better to switch it to https uniformly?

This is a suggestion to simplify reporting the dask version in the issue template by providing a suggested code snippet to run (in the Environment section of the issue template):

import dask; print("- Dask version:", dask.__version__)
import sys; print("- Python version:", sys.version)

I have been trying to use AutoSklearn with Multi-class classification

so my labels are like this

0 1 2 3 4 ... 200
1 0 1 1 1 ... 1
0 1 0 0 1 ... 0
1 0 0 1 0 ... 0
1 1 0 1 0 ... 1
0 1 1 0 1 ... 0
1 1 1 0 0 ... 1
1 0 1 0 1 ... 0

I used this code

`
y = y[:, (65,67,54,133,122,63,102

• As a user, I wish featuretools dfs would take a string as cutoff_time aswell as a datetime object

Code Example

fm, features = ft.dfs(entityset=es,
                      target_dataframe_name='customers',
                      cutoff_time="2014-1-1 05:00",
                      instance_ids=[1],
                      cutoff_time_in_index=True)

as well as

Discussed in alan-turing-institute/sktime#2649

Yes

Related: awslabs/autogluon#1479

Add a scikit-learn compatible API wrapper of TabularPredictor:

• TabularClassifier
• TabularRegressor

Required functionality (may need more than listed):

• init API
• fit API
• predict API
• works in sklearn pipelines

readthedocs analytics says that we have several search results that yield little or no useful results. Let's improvethose:

• gpu (only 2 results): make sure that explanation of device parameter mentions gpu as well
• gridsearch (0 results): make sure to include the term gridsearch in the meta data of

Hello everyone,

First of all, I want to take a moment to thank all contributors and people who supported this project in any way ;) you are awesome!

If you like the project and have any interest in contributing/maintaining it, you can contact me here or send me a msg privately:

• Email: nidhalbacc@gmail.com

PS: You need to be familiar with python and machine learning

The description in Step 2 does not seem very clear, e.g., in " internal node is a parent of that internal node", it is not clear which nodes are referred to here. It would be good to walk through how one column of C is constructed. Should the second column be (1,-1,0,1)? It would be nice to have some more intuition about C and D.

There is also a typo: "tenor".

Is your feature request related to a problem? Please describe.
Implements classification_report for classification metrics.(https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html)