Dafne van Kuppevelt

Results 30 issues of Dafne van Kuppevelt

In episode 5, the first few rows of the `surveys.csv` table show as: ``` record_id month day year plot species sex hindfoot_length weight 0 1 7 16 1977 2 NA...

I have a rather generic remark about this lesson that applies to multiple episodes. In all episodes, all exercises are grouped at the end of the episode. When teaching, I...

help wanted
type:enhancement
good first issue

To make Blacklab a bit more friendly for right-to-left languages, I suggest renaming the fields 'left' and 'right' in the hits requests to 'before' and 'after'. This also affects the...

webservice

Although there is a `read.wordvectors` function that can read in a plan text file with vectors, the `predict.word2vec` function only works on 'model' objects, that can not be created from...

As noted in issue #119 , one of the questions that often comes up is how to get feature importance, or understand better what the model is deciding on in...

help wanted
Episode 4
nice-to-have

## Learning objectives - Use data augmentation when you have too little data - How to use data-augmentation to alleviate unbalanced data - Understand what other applications exist for data...

status:out of scope

With the newest version of numpy (v1.12.0) I get the following error when running the tests (and also when using pybasicbayes with the pyhsmm package): ====================================================================== ERROR: test_gaussian.TestGaussian.test_empirical_bayes ---------------------------------------------------------------------- Traceback...

The plotting functionality plots the first two dimensions of the observation data. For the gaussian observation distributions, it plots a projection on a random basis (in [pybasicbayes](https://github.com/mattjj/pybasicbayes/blob/master/pybasicbayes/distributions/gaussian.py#L111) ). Therefore, the...

enhancement

Some test suite for commandline tools can be useful here: https://spin.atomicobject.com/2016/01/11/command-line-interface-testing-tools/

This is (multi-dimensional) regression for each time step, where the target is the value of the next time step

Research
classification