sklearn.preprocessing.robust_scale not available?

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sklearn.preprocessing.robust_scale not available?

posted Sep 4, 2017

API Seeking Help

When I try to use sklearn.preprocessing.robust_scale I get:

SecurityViolation: 0002 Security Violation(s): Accessing preprocessing.robust_scale raised an AttributeError. No attributes with a similar name were found.
There was a runtime error on line 203.

However, preprocessing.scale works.

Why is robust_scale not available?

4 responses

likely an ancient version of sklearn. Last time I checked only minmax/normalizer/standard scalers were available.

I often run into the same problem with pandas as well.

Since Q seems to use Conda it would be great if we can have custom environments with our choice of versions.

On Quantopian (both the research platform and the backtester/trading API), how does one determine version?

for both
import sklearn as sk
print(sk.version)

(or log.info(sk.version) for algos

Ran into the same thing today, would like to request RobustScaler as well since it's... more robust :).

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian.

In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.