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Code Activity

Fix typos and grammar errors in docstrings and comments (#1366)

Browse Source 
* fix gramma error in doc strings

* fix typos in exchange.py

* fix typos and gramma errors

* fix typo and rename function param to avoid shading python keyword

* remove redundant parathesis; pass kwargs to parent class

* fix pyblack

* further correction

* assign -> be assigned to
This commit is contained in:
YQ Tsui
2022-11-20 14:15:59 +08:00
committed by GitHub
parent 0c4db8b0f8
commit cc01812c62
24 changed files with 77 additions and 72 deletions
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2
qlib/contrib/model/pytorch_adarnn.py
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@@ -28,7 +28,7 @@ class ADARNN(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_add.py
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@@ -36,7 +36,7 @@ class ADD(Model):
d_feat : int
input dimensions for each time step
metric : str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : int

2
qlib/contrib/model/pytorch_alstm.py
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@@ -30,7 +30,7 @@ class ALSTM(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : int

2
qlib/contrib/model/pytorch_alstm_ts.py
View File

@@ -33,7 +33,7 @@ class ALSTM(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : int

2
qlib/contrib/model/pytorch_gats.py
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@@ -33,7 +33,7 @@ class GATs(Model):
d_feat : int
input dimensions for each time step
metric : str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : int

2
qlib/contrib/model/pytorch_gats_ts.py
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@@ -50,7 +50,7 @@ class GATs(Model):
d_feat : int
input dimensions for each time step
metric : str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : int

2
qlib/contrib/model/pytorch_gru.py
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@@ -30,7 +30,7 @@ class GRU(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_gru_ts.py
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@@ -31,7 +31,7 @@ class GRU(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_hist.py
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@@ -34,7 +34,7 @@ class HIST(Model):
d_feat : int
input dimensions for each time step
metric : str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_igmtf.py
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@@ -32,7 +32,7 @@ class IGMTF(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_lstm.py
View File

@@ -29,7 +29,7 @@ class LSTM(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_lstm_ts.py
View File

@@ -30,7 +30,7 @@ class LSTM(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_tcn.py
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@@ -33,7 +33,7 @@ class TCN(Model):
n_chans: int
number of channels
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_tcn_ts.py
View File

@@ -30,7 +30,7 @@ class TCN(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str

2
qlib/contrib/model/pytorch_tcts.py
View File

@@ -29,7 +29,7 @@ class TCTS(Model):
d_feat : int
input dimension for each time step
metric: str
the evaluate metric used in early stop
the evaluation metric used in early stop
optimizer : str
optimizer name
GPU : str