Added model creation script with Naive Bayes (var_smoothing=1e-07) as classifier

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ilydzi 2023-10-20 15:01:21 +02:00
parent e47b1ebfcc
commit 5b934e9b9d

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import os
import pandas as pd
from sklearn.naive_bayes import GaussianNB
from sklearn import preprocessing
import joblib
TRAIN_DATA_DIR = "datasets_train_raw"
train_df_list = []
for file in os.listdir(TRAIN_DATA_DIR):
file_path = os.path.join(TRAIN_DATA_DIR, file)
df = pd.read_csv(file_path, delim_whitespace=True, skiprows=1,
names=["tbid", "tphys", "r", "vr", "vt", "ik1", "ik2", "sm1", "sm2", "a", "e",
"collapsed"])
train_df_list.append(df)
data_train = pd.concat(train_df_list, ignore_index=True).sample(frac=1, random_state=42)
X_train = data_train.iloc[:, 1:-1].values
y_train = data_train.iloc[:, -1].values
lab = preprocessing.LabelEncoder()
y_train_transformed = lab.fit_transform(y_train)
clf = GaussianNB(var_smoothing=1e-07)
clf.fit(X_train, y_train_transformed)
joblib.dump(clf, 'trained_model.pkl')
joblib.dump(lab, 'label_encoder.pkl')