Fixes random_state for make_x from sklearn.datasets

[eddiebergman]

Fixes a maintenance issue where test_pass_categorical_and_numeric_columns_to_pipeline would occasionally fail, with the cost being slightly higher than the value 0.4 we specified that it should beat.

Fixed the issue by make make_classification deterministic with random_state=0. This was also added to all other sklearn.datasets.make_x present throughout the code base that did not use this.

Also fixes some slight typing issues.

• Closes Occasional test failure test_pass_categorical_and_numeric_columns_to_pipeline[True-numpy] #1211

[codecov]

Codecov Report

Merging #1263 (f7ec0b3) into development (502c136) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@             Coverage Diff              @@
##           development    #1263   +/-   ##
============================================
  Coverage        88.09%   88.10%           
============================================
  Files              140      140           
  Lines            11144    11144           
============================================
+ Hits              9817     9818    +1     
+ Misses            1327     1326    -1     

Impacted Files	Coverage Δ
autosklearn/estimators.py	93.42% <100.00%> (ø)
autosklearn/util/logging_.py	88.96% <0.00%> (-1.38%)	⬇️
...learn/pipeline/components/regression/libsvm_svr.py	91.46% <0.00%> (+1.21%)	⬆️
...ipeline/components/regression/gradient_boosting.py	93.26% <0.00%> (+1.92%)	⬆️

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