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Update process.py #12

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14 changes: 8 additions & 6 deletions lesson-05-modulation-isolation/process.py
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Original file line number Diff line number Diff line change
@@ -1,26 +1,28 @@
import json

import joblib
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
import pickle

with open("config.json") as f:
config = json.load(f)

df = pd.read_csv(config["data_path"])
df.dropna(inplace=True)
df['wind_humidity_ratio'] = df['wind_speed'] / df['humidity'].replace(0, 0.1)
df["wind_humidity_ratio"] = df["wind_speed"] / df["humidity"].replace(0, 0.1)

X = df[config["features"] + ["wind_humidity_ratio"]]
y = df[config["target"]]

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=config["random_state"])
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.2, random_state=config["random_state"]
)

model = LinearRegression()
model.fit(X_train, y_train)

with open(config["output_model"], "wb") as f:
pickle.dump(model, f)
joblib.dump(model, config["output_model"])

score = model.score(X_test, y_test)
print(f"Model R^2 score: {score}")
print(f"Model R^2 score: {score}")