Jonathan Mackenzie
Jonathan Mackenzie
Can we please get toggle button groups, similar to what's described here: https://material.io/components/buttons/#toggle-button They're also called button groups in bootstrap: https://getbootstrap.com/docs/4.4/components/button-group/ In angular material they're button toggles: https://material.angular.io/components/button-toggle/overview
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I have an issue when trying to raise and catch the exact exception from an included file. My thrift is: ```thrift #TestSpect.thrift include "errors.thrift" service TestService { void do_error() throws...
#### What's the issue: Filenames in the octotree filebrowser extension are not clearly visible. #### Steps to reproduce: 1. Install [octotree](https://github.com/ovity/octotree) plugin 2. Visit any repository #### Solutions: Add a...
There is a similar library called [hyperopt](https://github.com/hyperopt/hyperopt) and the main optimizer included in that is TPE (Tree-structured Parzen Estimator) [as described by Bergstra et al](https://papers.nips.cc/paper/4443-algorithms-for-hyper-parameter-optimization.pdf). They also provide a fairly...
Following this example: https://docs.djangoproject.com/en/4.0/topics/auth/passwords/#writing-your-own-validator eg: ```py class MinimumLengthValidator: def validate(self, password, user=None): ... ``` results in an `unused-argument` error being raised by pylint for `user`. Would it be possible to...
When using all and include ```js import {expect, use} from "chai"; use(require("chai-things")); expect(["abc", "bcd"]).to.all.include("bc"); ``` You get the error: ``` AssertionError: expected 'abc' to include 'bc' ``` Ideally this test...
After reading this blog post: https://sgugger.github.io/how-do-you-find-a-good-learning-rate.html It seems that you can get better smoothing by using an exponential weighting. Could this potentially provide better a learning rate? I'll make a...
Fixed #18
When using `find_generator`: https://github.com/surmenok/keras_lr_finder/blob/7870043d86101010b2a644df22b4018af58534fb/keras_lr_finder/lr_finder.py#L76 `lr_mult` causes the learning rate to converge at `end_lr` after only 1 epoch. If you want to use 2 or more epochs, then your learning rate...