On Fri, Nov 09, 2012 at 05:50:30PM +0100, federico vaggi wrote:
> y : numpy array of shape [n_samples, n_responses]
> Target values
> Should probably be:
> y : numpy array of shape [n_samples, n_targets]
> Target values
> Presuming targets is meant to be used instead of responses. T
Looks good Gael - only thing:
*y* : numpy array of shape [n_samples, n_responses]
Target values
Should probably be:
*y* : numpy array of shape [n_samples, n_targets]
Target values
Presuming targets is meant to be used instead of responses. The same
applies to the docstrings of elastic_net,
On Fri, Nov 09, 2012 at 05:33:22PM +0100, federico vaggi wrote:
> Which is n_responses, n_features (I confused samples and responses earlier)..
Actually, I was wrong earlier, and the term that we usually use is
'n_targets'.
> It makes sense - assuming it isn't redundant/confusing, I might try to
Just testing now:
X = np.linspace(1,30,30).reshape(10,3)
w = np.linspace(1, 60, 60).reshape(3, 20)
y = dot(X,w)
w2 = lr.fit(X, y)
w2.shape
Out[129]: (20L, 3L)
Which is n_responses, n_features (I confused samples and responses
earlier)..
It makes sense - assuming it isn't redundant/confusing, I
On Fri, Nov 09, 2012 at 05:16:21PM +0100, federico vaggi wrote:
> In this case, the w that will be returned by in .coef will be of shape
> (n_samples, n_features) if I follow the nomenclature correctly?
(n_targets, n_features), I believe.
> I guess the 'rule' is that n_features should always repr
In this case, the w that will be returned by in .coef will be of shape
(n_samples, n_features) if I follow the nomenclature correctly?
I guess the 'rule' is that n_features should always represent the number of
columns? I only came across this because I was working with some square
matrix, and I
On Fri, Nov 09, 2012 at 04:32:35PM +0100, federico vaggi wrote:
> Is there any reason why in the case of a matrix y, the coefficients returned
> by
> the linear regression seem to be a transpose of the actual coefficient matrix?
> I am sure this is just a case of syntax/convenience, but I was act
