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| author | Charles <sircharlesaze@gmail.com> | 2020-01-22 18:05:06 +0100 |
|---|---|---|
| committer | Charles <sircharlesaze@gmail.com> | 2020-01-22 18:05:33 +0100 |
| commit | 1e45848f0b84218dfbdb62e313b4c33791a98555 (patch) | |
| tree | 727e277ef8c688801220eaa14d2b710126116c11 /src/train.py | |
| parent | 79f3505b2611b0f6a210224d38d59002597379e6 (diff) | |
| download | ft_linear_regression-1e45848f0b84218dfbdb62e313b4c33791a98555.tar.gz ft_linear_regression-1e45848f0b84218dfbdb62e313b4c33791a98555.tar.bz2 ft_linear_regression-1e45848f0b84218dfbdb62e313b4c33791a98555.zip | |
Moved notebook to notebook/, Added predict.py and train.py template
Diffstat (limited to 'src/train.py')
| -rw-r--r-- | src/train.py | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/src/train.py b/src/train.py new file mode 100644 index 0000000..a31d032 --- /dev/null +++ b/src/train.py @@ -0,0 +1,32 @@ +class Model: + def __init__(self, filename='../data.csv'): + self.datafile = filename + + def train(self): + pass + + def partial_theta1(self): + pass + + def partial_theta0(self): + pass + + def gradient_descent(self): + pass + + def read_data(self): + pass + + def normalize_data(self): + pass + + def write_theta(self): + pass + + +if __name__ == "__main__": + m = Model() + m.read_data() + m.normalize_data() + m.train() + m.write_theta() |
