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Update Research Phase #37

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Update Research Phase #37

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5f7817d
update dependencies
jncabelin Feb 10, 2024
b970d2b
update notebook
jncabelin Feb 10, 2024
3ce9651
updated requirements
jncabelin Feb 14, 2024
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6 changes: 3 additions & 3 deletions research_phase/gradient_boosting_model.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@
"# from sklearn.pipeline import Pipeline\n",
"# from sklearn.compose import ColumnTransformer\n",
"\n",
"from feature_engine.categorical_encoders import RareLabelCategoricalEncoder\n",
"from feature_engine.encoding import RareLabelEncoder\n",
"\n",
"# to visualise al the columns in the dataframe\n",
"pd.pandas.set_option('display.max_columns', None)"
Expand Down Expand Up @@ -684,7 +684,7 @@
"source": [
"### Separate dataset into train and test\n",
"\n",
"Before beginning to engineer our features, it is important to separate our data intro training and testing set. This is to avoid over-fitting. This step involves randomness, therefore, we need to set the seed."
"### Before beginning to engineer our features, it is important to separate our data intro training and testing set. This is to avoid over-fitting. This step involves randomness, therefore, we need to set the seed."
]
},
{
Expand Down Expand Up @@ -1035,7 +1035,7 @@
"source": [
"# remove rare caregories\n",
"\n",
"rare_enc = RareLabelCategoricalEncoder(tol=0.01, n_categories=5, variables = vars_cat)\n",
"rare_enc = RareLabelEncoder(tol=0.01, n_categories=5, variables = vars_cat)\n",
"rare_enc.fit(X_train)\n",
"X_train = rare_enc.transform(X_train)\n",
"X_test = rare_enc.transform(X_test)"
Expand Down
13 changes: 7 additions & 6 deletions research_phase/requirements.txt
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Original file line number Diff line number Diff line change
@@ -1,9 +1,10 @@
# We use compatible release functionality (see PEP 440 here: https://www.python.org/dev/peps/pep-0440/#compatible-release)
# to specify acceptable version ranges of our project dependencies. This gives us the flexibility to keep up with small
# updates/fixes, whilst ensuring we don't install a major update which could introduce backwards incompatible changes.
numpy>=1.20.0,<1.21.0
pandas>=1.3.5,<1.4.0
scikit-learn>=1.0.2,<1.1.0
jupyter>=1.0.0,<1.1.0
feature_engine>=0.3.1,<0.4.0
matplotlib>=3.1.2,<4.0.0

numpy>=1.20.0,<1.25.0;python_version>="3.8" and python_version<"3.12"
pandas>=1.5.0,<2.1.0;python_version>="3.8" and python_version<"3.12"
scikit-learn>=1.2.0;python_version>="3.8" and python_version<"3.12"
jupyter>=1.0.0,<1.1.0;python_version>="3.8" and python_version<"3.12"
feature-engine>=1.5.0,<=1.6.2;python_version>="3.8" and python_version<"3.12"
matplotlib>=3.1.2,<4.0.0;python_version>="3.8" and python_version<"3.12"