Change HP Name & Include Text example (#1410)

* rename "ngram_range" to "ngram_upper_bound" this includes renaming it in all *csv and *json files for metalearning

* rename "ngram_range" to "ngram_upper_bound" this includes renaming it in all *csv and *json files for metalearning

* handle the following issue
#1373 (comment)

this commit fixes the first 3 bullet points on the to do list.

1. rename hyperparameter "ngram_range" --> "ngram_upper_bound"
   this includes changing all *csv and *json files

2. Create a new textpreprocessing example_text_preprocessing.py, this new example features the 20Newsgroups dataset

import in example_text_preprocessing.py to long, but i can not come up with a good solution

* handle the following issue
#1373 (comment)

this commit fixes the first 3 bullet points on the to do list.

1. rename hyperparameter "ngram_range" --> "ngram_upper_bound"
   this includes changing all *csv and *json files

2. Create a new textpreprocessing example_text_preprocessing.py, this new example features the 20Newsgroups dataset

import in example_text_preprocessing.py to long, but i can not come up with a good solution

include feedback from 02.24.

* handle the following issue
#1373 (comment)

this commit fixes the first 3 bullet points on the to do list.

1. rename hyperparameter "ngram_range" --> "ngram_upper_bound"
   this includes changing all *csv and *json files

2. Create a new textpreprocessing example_text_preprocessing.py, this new example features the 20Newsgroups dataset

import in example_text_preprocessing.py to long, but i can not come up with a good solution

include feedback from 02.24.

* handle the following issue
#1373 (comment)

this commit fixes the first 3 bullet points on the to do list.

1. rename hyperparameter "ngram_range" --> "ngram_upper_bound"
   this includes changing all *csv and *json files

2. Create a new textpreprocessing example_text_preprocessing.py, this new example features the 20Newsgroups dataset

import in example_text_preprocessing.py to long, but i can not come up with a good solution

include feedback from 02.24.

* handle the following issue
#1373 (comment)

this commit fixes the first 3 bullet points on the to do list.

1. rename hyperparameter "ngram_range" --> "ngram_upper_bound"
   this includes changing all *csv and *json files

2. Create a new textpreprocessing example_text_preprocessing.py, this new example features the 20Newsgroups dataset

import in example_text_preprocessing.py to long, but i can not come up with a good solution

include feedback from 02.24.

* handle the following issue
#1373 (comment)

this commit fixes the first 3 bullet points on the to do list.

1. rename hyperparameter "ngram_range" --> "ngram_upper_bound"
   this includes changing all *csv and *json files

2. Create a new textpreprocessing example_text_preprocessing.py, this new example features the 20Newsgroups dataset

import in example_text_preprocessing.py to long, but i can not come up with a good solution

include feedback from 02.24.

* handle the following issue
#1373 (comment)

this commit fixes the first 3 bullet points on the to do list.

1. rename hyperparameter "ngram_range" --> "ngram_upper_bound"
   this includes changing all *csv and *json files

2. Create a new textpreprocessing example_text_preprocessing.py, this new example features the 20Newsgroups dataset

import in example_text_preprocessing.py to long, but i can not come up with a good solution

include feedback from 02.24.

* limit 20NG to 5 labels. automl.leaderboard has problems if the ensamble contains only one model. Therefore we reduced the problem complexity

* limit 20NG to 5 labels. automl.leaderboard has problems if the ensamble contains only one model. Therefore we reduced the problem complexity

* limit 20NG to 2 labels. automl.leaderboard has problems if the ensamble contains only one model. Therefore we reduced the problem complexity

* limit 20NG to 2 labels. automl.leaderboard has problems if the ensamble contains only one model. Therefore we reduced the problem complexity

Author: Louquinze