unimore/bda-6-steffo
unimore/bda-6-steffo
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Remove double newlines from config docstrings

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Steffo 2023-02-13 18:47:47 +01:00
parent 292d618e00
commit c5b487f350
Signed by: steffo
GPG key ID: 2A24051445686895
1 changed files with 0 additions and 9 deletions
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9
unimore_bda_6/config.py
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@ -7,7 +7,6 @@ config = cfig.Configuration()
def MONGO_HOST(val: str | None) -> str: def MONGO_HOST(val: str | None) -> str:
""" """
The hostname of the MongoDB database to connect to. The hostname of the MongoDB database to connect to.
Defaults to `"127.0.0.1"`. Defaults to `"127.0.0.1"`.
""" """
return val or "127.0.0.1" return val or "127.0.0.1"
@ -17,7 +16,6 @@ def MONGO_HOST(val: str | None) -> str:
def MONGO_PORT(val: str | None) -> int: def MONGO_PORT(val: str | None) -> int:
""" """
The port of the MongoDB database to connect to. The port of the MongoDB database to connect to.
Defaults to `27017`. Defaults to `27017`.
""" """
if val is None: if val is None:
@ -33,7 +31,6 @@ def WORKING_SET_SIZE(val: str | None) -> int:
""" """
The number of reviews to consider from the database. The number of reviews to consider from the database.
Set this to a low number to prevent slowness due to the dataset's huge size. Set this to a low number to prevent slowness due to the dataset's huge size.
Defaults to `1000000`. Defaults to `1000000`.
""" """
if val is None: if val is None:
@ -48,7 +45,6 @@ def WORKING_SET_SIZE(val: str | None) -> int:
def TRAINING_SET_SIZE(val: str | None) -> int: def TRAINING_SET_SIZE(val: str | None) -> int:
""" """
The number of reviews from each category to fetch for the training dataset. The number of reviews from each category to fetch for the training dataset.
Defaults to `4000`. Defaults to `4000`.
""" """
if val is None: if val is None:
@ -63,7 +59,6 @@ def TRAINING_SET_SIZE(val: str | None) -> int:
def VALIDATION_SET_SIZE(val: str | None) -> int: def VALIDATION_SET_SIZE(val: str | None) -> int:
""" """
The number of reviews from each category to fetch for the training dataset. The number of reviews from each category to fetch for the training dataset.
Defaults to `400`. Defaults to `400`.
""" """
if val is None: if val is None:
@ -78,7 +73,6 @@ def VALIDATION_SET_SIZE(val: str | None) -> int:
def EVALUATION_SET_SIZE(val: str | None) -> int: def EVALUATION_SET_SIZE(val: str | None) -> int:
""" """
The number of reviews from each category to fetch for the evaluation dataset. The number of reviews from each category to fetch for the evaluation dataset.
Defaults to `1000`. Defaults to `1000`.
""" """
if val is None: if val is None:
@ -93,7 +87,6 @@ def EVALUATION_SET_SIZE(val: str | None) -> int:
def TENSORFLOW_MAX_FEATURES(val: str | None) -> int: def TENSORFLOW_MAX_FEATURES(val: str | None) -> int:
""" """
The maximum number of features to use in Tensorflow models. The maximum number of features to use in Tensorflow models.
Defaults to `300000`. Defaults to `300000`.
""" """
if val is None: if val is None:
@ -108,7 +101,6 @@ def TENSORFLOW_MAX_FEATURES(val: str | None) -> int:
def TENSORFLOW_EMBEDDING_SIZE(val: str | None) -> int: def TENSORFLOW_EMBEDDING_SIZE(val: str | None) -> int:
""" """
The size of the embeddings tensor to use in Tensorflow models. The size of the embeddings tensor to use in Tensorflow models.
Defaults to `12`. Defaults to `12`.
""" """
if val is None: if val is None:
@ -123,7 +115,6 @@ def TENSORFLOW_EMBEDDING_SIZE(val: str | None) -> int:
def TENSORFLOW_EPOCHS(val: str | None) -> int: def TENSORFLOW_EPOCHS(val: str | None) -> int:
""" """
The number of epochs to train Tensorflow models for. The number of epochs to train Tensorflow models for.
Defaults to `3`. Defaults to `3`.
""" """
if val is None: if val is None: