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Showing posts with the label Statistics

Is There A Way To Suitably Adjust This Sklearn Logistic Regression Function To Account For Multiple Independent Variables And Fixed Effects?

I would like to adapt the LogitRegression function included below to include additional independent… Read more Is There A Way To Suitably Adjust This Sklearn Logistic Regression Function To Account For Multiple Independent Variables And Fixed Effects?

Numpy Std (standard Deviation) Function Weird Behavior

From statistics point of view standard deviation when all values are equal should be 0. For arr1 re… Read more Numpy Std (standard Deviation) Function Weird Behavior

Make A Scatter Plot In Matplotlib With Dates On X Axis And Values On Y

I am having trouble making a scatter plot that has from a date array and a bunch of PM 2.5 values. … Read more Make A Scatter Plot In Matplotlib With Dates On X Axis And Values On Y

Returning Cov And Std From Sklearn Gaussian Process?

I can return the covariance or the standard deviation from a GP using sklearn, like: y, cov = gp.pr… Read more Returning Cov And Std From Sklearn Gaussian Process?

Output Values Differ Between R And Python?

Perhaps I am doing something wrong while z-normalizing my array. Can someone take a look at this an… Read more Output Values Differ Between R And Python?

Using Scipy.stats.stats In Django After Deployment

I am in the process of creating an django-powered (1.3) interface to a package that relies heavily … Read more Using Scipy.stats.stats In Django After Deployment