- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 61 - 70 of 268 for v (0.05 sec)
-
RidgeCV — scikit-learn 1.7.0 documentation
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
PLSCanonical — scikit-learn 1.7.0 documentation
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
KNeighborsRegressor — scikit-learn 1.7.0 docume...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
Barton Springs - Wikipedia
v t e City of Austin Slogan: Live...Round Rock Express Texas Stars v t e National Register of Historic...en.wikipedia.org/wiki/Barton_Springs -
OrthogonalMatchingPursuitCV — scikit-learn 1.7....
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
Photo: Latest Compelling Image Galleries. Photo...
Osbourne's last stand Frank Thorp V / NBC News CONGRESS Centrist Rep....is connected again Frank Thorp V / NBC News EXCLUSIVE Linda McMahon...www.nbcnews.com/photos -
Elasticsearch: Getting started with searching a...
connector using: docker run -v "./connectors-config:/config"...www.elastic.co/getting-started/enterprise-search/search-across-business-systems-and-software -
GaussianProcessRegressor — scikit-learn 1.7.0 d...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
DummyRegressor — scikit-learn 1.7.0 documentation
coefficient R^2 is defined as (1 - u/v) , where u is the residual sum...((y_true - y_pred) ** 2).sum() and v is the total sum of squares ((y_true...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
TheilSenRegressor — scikit-learn 1.7.0 document...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html