[scikit-learn] interpretation of manifold.MDS results

I have a set of photos and a set of metrics for assigning distances between them. I am out to find the dimensionality of (space needed to embed) each set of distances, out of curiosity and to inform my use of the metrics in forming the character of an AI. It was suggested that manifold.MDS cou

Re: [scikit-learn] Fwd: inconsistency between libsvm and scikit-learn.svc results

One logical possibility is if svm would accept the scikit-learn changes. On 8/27/16 6:42 AM, elge...@gmail.com wrote: So there is no possibility to reach a consistency? 2016-08-27 15:36 GMT+03:00 olologin >: On 08/27/2016 02:19 PM, elge...@gmail.com

Re: [scikit-learn] Using Scikit-Learn to predict magnetism in chemical systems

Image processing deals with xy coordinates by (as I understand) training with multiple permutations of the raw data, in the form of translations and rotations in the 2d space. If training with 3d data, there would be that much more translating and rotating to do, in order to divorce the learnin

Re: [scikit-learn] Using Scikit-Learn to predict magnetism in chemical systems

a.org/wiki/Z-matrix_(chemistry) <https://en.wikipedia.org/wiki/Z-matrix_%28chemistry%29> On Tue, Mar 28, 2017 at 2:12 AM, Bill Ross <mailto:r...@cgl.ucsf.edu>> wrote: Image processing deals with xy coordinates by (as I understand) training with multiple permutations of

Re: [scikit-learn] Fwd: SSIM with tolerances

I wonder naively: if you can make rules, why train something to learn them vs. just implementing them directly? I'm really curious if there's an advantage in logistics or performance (can meaningful extrapolation somehow occur?). I think the answer for machine learning is not to make rules, bu

Re: [scikit-learn] Replacing the Boston Housing Prices dataset

Unless the data concretely promotes discrimination, it seems discriminatory to exclude it. Bill On 7/6/17 5:39 PM, Sebastian Raschka wrote: I think there can be some middle ground. I.e., adding a new, simple dataset to demonstrate regression (maybe autmpg, wine quality, or sth like that) and

Re: [scikit-learn] Replacing the Boston Housing Prices dataset

Possibly of interest: Race and ethnicity Imputation from Disease history with Deep LEarning https://github.com/jisungk/riddle Bill On 7/6/17 6:00 PM, Bill Ross wrote: Unless the data concretely promotes discrimination, it seems discriminatory to exclude it. Bill On 7/6/17 5:39 PM

Re: [scikit-learn] Replacing the Boston Housing Prices dataset

And more to the point the discussion on Reddit: https://www.reddit.com/r/MachineLearning/comments/6m8tp0/p_deep_learning_for_estimating_race_and_ethnicity/ Bill On 7/9/17 5:13 PM, Bill Ross wrote: Possibly of interest: Race and ethnicity Imputation from Disease history with Deep LEarning

Re: [scikit-learn] sklearn.model_selection.GridSearchCV - unable to use n_jobs>1 on MacOS Sierra python 2.7

What interval between dying, vs. how long is the run overall? Obviously you want that ratio to be 'small enough'. On 1/7/18 3:35 PM, Joel Nothman wrote: What do you mean by "the jobs start to die out one by one"? Surely the jobs should finish and die out one by one...? On 8 January 2018 at 0

Re: [scikit-learn] Project Contribution

Quick followup from a bystander: have you used scikit-learn for anything? How much of the code have you read? (me: no, 0) Bill On 5/2/18 11:53 PM, prince jha wrote: Hello everyone, I am also willing to contribute to scikit-learn open source project but since I have never contributed to any op

Re: [scikit-learn] Google Cloud ML Error

Dumb generic cross-check from supporting compchem code in the day: What do these give? Might yield a clue, e.g. all model files seeing this got corrupted somehow. $ file */tmp/model/0001/model.joblib* *$ ls -l ***/tmp/model/0001/model.joblib** ** ** On 1/25/19 9:26 AM, Liam Geron wrote: Hi

Re: [scikit-learn] Google Cloud ML Error

x27;/tmp/model/0001/model.joblib': No such file or directory"* * * and *"/bin/sh: 1: file: not found".* On Fri, Jan 25, 2019 at 1:29 PM Bill Ross <mailto:r...@cgl.ucsf.edu>> wrote: Dumb generic cross-check from supporting compchem code in the day: What do the

Re: [scikit-learn] Google Cloud ML Error

d the sklearn module or the joblib module? I'm currently running sklearn on 0.19.1 and joblib on 0.13.1. Do I need to be running them on a specific version?On Fri, Jan 25, 2019 at 2:35 PM Bill Ross <r...@cgl.ucsf.edu> wrote: Have you updated the project since this:

Re: [scikit-learn] Need for multioutput multivariate algorithm for Random Forest in Python (using Mahalanobis distance)

Speaking as an ignorant, lurker/nonuser of sklearn, the way I see this being handled in neural nets is https://keras.io/examples/cifar10_cnn/ model.add(Dense(num_classes)) model.add(Activation('softmax')) Not sure if that will map to sklearn. Bill On 2/9/20 12:21 PM, Paul Chike Ofoche

Re: [scikit-learn] Need some information regarding a GaussianNB package

I suspect folk would need to know what the 'controlled way' was by which you derived set2 from set1. Bill On 6/28/20 8:11 PM, Saha, Prashanta wrote: Hi , I have been using your GaussianNB package for machine learning modeling by naive bayes algorithm. I have generated train and test set us

Re: [scikit-learn] is Sci_kiet-Learn the right choice for my project

> My hope is that with machine learning we can detect when an object is > missing, or configured in error, or duplicates. These look like simple correctness issues that I'd address with programming. Why do you want to use a learned approach? Do you think it will be faster to develop, or have

Re: [scikit-learn] MinMaxScaler scales all (and only all) features in X?

222 ] [0.30681818 0.04517088 0.04456278 ... 1.1292094 1.201864 1.4767016 ] ... [0.02272727 0.04457652 0.1680213 ... 1.796316 1.939811 2.1776829 ] [0.55681818 0.04546805 0.04176009 ... 0.48330075 0.37375322 0.29931256] [0.50.04457652 0.04091928 ... 0.6759416 0.7517819 0.8801653 ]]

[scikit-learn] MinMaxScaler scales all (and only all) features in X?

Hi, I have a mixture of table data and intermediate vectors from another model, which don't seem to scale productively. The fact that MinMaxScaler seems to do all features in X makes me wonder if/how people train with such mixed data. The easy approaches seem to be either scale the db data and

Re: [scikit-learn] MinMaxScaler scales all (and only all) features in X?

> ColumnTransformer Thanks! I was also thinking of trying TabPFN, not researched yet, in case you can comment. Their attribution requirement seems overboard for what I want, unless it's flat-out miraculous for the flat-footed. :-) Some of us are working on a related package, skrub (https://sk

Re: [scikit-learn] MinMaxScaler scales all (and only all) features in X?

t_output(transform="pandas"). Thanks, Bill --- -- Phobrain.com On 2025-02-11 01:31, Bill Ross wrote: > I applied ColumnTransformer, but the results are unexpected. It could be my > lack of python skill, but it seems like the value of p1_1 in the original > sho

Re: [scikit-learn] Fw: Your confirmation is required to join the scikit-learn mailing list

I traveled 3 days by sled dog for this? I think not, therefore I pain't. -- Phobrain.com On 2025-04-23 07:10, Brian van Doren wrote: > ░░█ > ░░███░░██████ > ░░█▒▒█░░░███▒███ > ░░░█▒▒███▒▒▒██ > █

Re: [scikit-learn] Fw: Your confirmation is required to join the scikit-learn mailing list

I will need more information. --- -- Phobrain.com On 2025-04-29 03:14, Eren Bozkurt via scikit-learn wrote: > Confirmed. > > Eduardo Mota Nascimento via scikit-learn , 28 Nis > 2025 Pzt, 17:52 tarihinde şunu yazdı: > Confirmed! > > Em seg., 28 de abr. de 2025 às 03:41, Victor Nazarychev