2012/10/31 Olivier Grisel :
>>> Can we have a vote on this?
+1
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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2012/10/31 Andreas Mueller :
> On 10/31/2012 10:09 AM, Gael Varoquaux wrote:
>> On Tue, Oct 30, 2012 at 03:40:48PM +0100, Lars Buitinck wrote:
>>> Agree with David, int->float conversion should be expected to produce
>>> larger arrays.
>> Can we have a vote on this?
+1 too
--
Olivier
http://twit
On 10/31/2012 10:09 AM, Gael Varoquaux wrote:
> On Tue, Oct 30, 2012 at 03:40:48PM +0100, Lars Buitinck wrote:
>> Agree with David, int->float conversion should be expected to produce
>> larger arrays.
> Can we have a vote on this?
>
> I am +0 on int->float conversion always giving float64 (np.floa
On Tue, Oct 30, 2012 at 03:40:48PM +0100, Lars Buitinck wrote:
> Agree with David, int->float conversion should be expected to produce
> larger arrays.
Can we have a vote on this?
I am +0 on int->float conversion always giving float64 (np.float).
G
--
2012/10/30 Gael Varoquaux :
> On Mon, Oct 29, 2012 at 05:05:11PM -0400, David Warde-Farley wrote:
>> Comment from the peanut gallery: this seems like a supremely odd
>> function to have, since int32s cannot be safely represented in 32-bit
>> floating point anyway (nor int64s in float64, but there's
On Mon, Oct 29, 2012 at 05:05:11PM -0400, David Warde-Farley wrote:
> Comment from the peanut gallery: this seems like a supremely odd
> function to have, since int32s cannot be safely represented in 32-bit
> floating point anyway (nor int64s in float64, but there's not much you
> can do about it w
On Mon, Oct 29, 2012 at 2:03 PM, Andreas Mueller
wrote:
> Hi everybody.
> Olivier asked me to explain my commit:
> https://github.com/scikit-learn/scikit-learn/commit/00d1055bf9f00e7024f9c4757262ffb852a61267
> On the ML, so here goes:
> The code used
>
> as_float_array(startprob, copy=False)
>
> w
Hi everybody.
Olivier asked me to explain my commit:
https://github.com/scikit-learn/scikit-learn/commit/00d1055bf9f00e7024f9c4757262ffb852a61267
On the ML, so here goes:
The code used
as_float_array(startprob, copy=False)
which I replaced with
np.array(startprob, dtype=np.float)
Basically as_
