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πŸ–₯ Skorch позволяСт ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ ΠΌΠΎΠ΄Π΅Π»ΠΈ PyTorch с интСрфСйсом, Π°Π½Π°Π»ΠΎΠ³ΠΈΡ‡Π½Ρ‹ΠΌ scikit-learn (Sklearn). Π­Ρ‚ΠΎ Π΄Π΅Π»Π°Π΅Ρ‚ ΠΎΠ±ΡƒΡ‡Π΅Π½ΠΈΠ΅ ΠΈ Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΡŽ PyTorch-ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΏΡ€ΠΎΡ‰Π΅ ΠΈ понятнСС, особСнно для Ρ‚Π΅Ρ…, ΠΊΡ‚ΠΎ ΡƒΠΆΠ΅ Π·Π½Π°ΠΊΠΎΠΌ с API Sklearn.


from skorch import NeuralNetClassifier

model = NeuralNetClassifier(
module=MyClassifier, # Класс модСли на PyTorch
lr=0.001, # Π‘ΠΊΠΎΡ€ΠΎΡΡ‚ΡŒ обучСния
batch_size=64, # Π Π°Π·ΠΌΠ΅Ρ€ Π±Π°Ρ‚Ρ‡Π°
criterion=nn.CrossEntropyLoss, # Ѐункция ΠΏΠΎΡ‚Π΅Ρ€ΡŒ
optimizer=optim.Adam # ΠžΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ‚ΠΎΡ€
)


Π—Π΄Π΅ΡΡŒ создаётся ΠΎΠ±Ρ‘Ρ€Ρ‚ΠΊΠ° NeuralNetClassifier, которая Π΄Π΅Π»Π°Π΅Ρ‚ модСль PyTorch совмСстимой с .fit(), .predict() ΠΈ Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ Sklearn.

πŸ“ŒΠžΠ±ΡƒΡ‡Π΅Π½ΠΈΠ΅:


model.fit(X_train, y_train)
Π’Ρ‹ ΠΎΠ±ΡƒΡ‡Π°Π΅ΡˆΡŒ модСль Ρ‚Π°ΠΊ ΠΆΠ΅, ΠΊΠ°ΠΊ ΠΈ Π² Sklearn. Π­Ρ‚ΠΎ ΡƒΠ΄ΠΎΠ±Π½ΠΎ ΠΈ Π½Π΅ Ρ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ написания собствСнного Ρ†ΠΈΠΊΠ»Π° обучСния.


Π‘ ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Skorch Ρ‚Ρ‹ ΠΏΠΎΠ»ΡƒΡ‡Π°Π΅ΡˆΡŒ:

- ΡƒΠ΄ΠΎΠ±Π½Ρ‹ΠΉ Sklearn-ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹ΠΉ API для PyTorch-ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;

- автоматичСский Π²Ρ‹Π²ΠΎΠ΄ ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ обучСния;

- Π»Ρ‘Π³ΠΊΡƒΡŽ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΡŽ с GridSearchCV, Pipeline ΠΈ Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ инструмСнтами Scikit-learn.

https://github.com/skorch-dev/skorch

@machinelearning_interview
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πŸ–₯ Skorch позволяСт ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ ΠΌΠΎΠ΄Π΅Π»ΠΈ PyTorch с интСрфСйсом, Π°Π½Π°Π»ΠΎΠ³ΠΈΡ‡Π½Ρ‹ΠΌ scikit-learn (Sklearn). Π­Ρ‚ΠΎ Π΄Π΅Π»Π°Π΅Ρ‚ ΠΎΠ±ΡƒΡ‡Π΅Π½ΠΈΠ΅ ΠΈ Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΡŽ PyTorch-ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΏΡ€ΠΎΡ‰Π΅ ΠΈ понятнСС, особСнно для Ρ‚Π΅Ρ…, ΠΊΡ‚ΠΎ ΡƒΠΆΠ΅ Π·Π½Π°ΠΊΠΎΠΌ с API Sklearn.


from skorch import NeuralNetClassifier

model = NeuralNetClassifier(
module=MyClassifier, # Класс модСли на PyTorch
lr=0.001, # Π‘ΠΊΠΎΡ€ΠΎΡΡ‚ΡŒ обучСния
batch_size=64, # Π Π°Π·ΠΌΠ΅Ρ€ Π±Π°Ρ‚Ρ‡Π°
criterion=nn.CrossEntropyLoss, # Ѐункция ΠΏΠΎΡ‚Π΅Ρ€ΡŒ
optimizer=optim.Adam # ΠžΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ‚ΠΎΡ€
)


Π—Π΄Π΅ΡΡŒ создаётся ΠΎΠ±Ρ‘Ρ€Ρ‚ΠΊΠ° NeuralNetClassifier, которая Π΄Π΅Π»Π°Π΅Ρ‚ модСль PyTorch совмСстимой с .fit(), .predict() ΠΈ Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ Sklearn.

πŸ“ŒΠžΠ±ΡƒΡ‡Π΅Π½ΠΈΠ΅:


model.fit(X_train, y_train)
Π’Ρ‹ ΠΎΠ±ΡƒΡ‡Π°Π΅ΡˆΡŒ модСль Ρ‚Π°ΠΊ ΠΆΠ΅, ΠΊΠ°ΠΊ ΠΈ Π² Sklearn. Π­Ρ‚ΠΎ ΡƒΠ΄ΠΎΠ±Π½ΠΎ ΠΈ Π½Π΅ Ρ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ написания собствСнного Ρ†ΠΈΠΊΠ»Π° обучСния.


Π‘ ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Skorch Ρ‚Ρ‹ ΠΏΠΎΠ»ΡƒΡ‡Π°Π΅ΡˆΡŒ:

- ΡƒΠ΄ΠΎΠ±Π½Ρ‹ΠΉ Sklearn-ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹ΠΉ API для PyTorch-ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;

- автоматичСский Π²Ρ‹Π²ΠΎΠ΄ ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ обучСния;

- Π»Ρ‘Π³ΠΊΡƒΡŽ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΡŽ с GridSearchCV, Pipeline ΠΈ Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ инструмСнтами Scikit-learn.

https://github.com/skorch-dev/skorch

@machinelearning_interview

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