Zhirui (Jerry) Wang

Results 9 issues of Zhirui (Jerry) Wang

The outdated version on conda-forge requires ffmpeg version as 2.8.*, which conflicts with lost of packages that depends on newer version of ffmpeg, including opencv. I have tried to update...

Fix issue:https://github.com/dkahle/ggmap/issues/220 `failedGeocodeReturn` function returns a named vector, this will cause problem in the line 121 of `ldply` function to combine named vector and data.frame together, i.e. try running code...

When using geocode function, if: (1) the location parameter is a multiple-element vector, (2) one of the element will return a bad request, (3) output parameter is "more" Then the...

### Bug description In the [Dressipi notebook](https://github.com/NVIDIA-Merlin/models/blob/main/examples/usecases/ecommerce-session-based-next-item-prediction-for-fashion.ipynb), after executing the "Feature Engineering with NVTabular" step, the transformed validation set output only has one row of `session_id` == 0 ### Expected...

bug
status/needs-triage

Hi Databricks team! Rapids.ai team has updated the container specs on their site to rapids v22.06 release, wonder if you guys can also sync up with the update in this...

### Bug description When using InputBlock to take in continouse sequence features, expected shape would be `[batch_size, seq_length, num_cont_features]`, but instead if became `[batch_size, num_cont_features*seq_length]`. And when concatenated with categorical...

bug
status/needs-triage
P0

# 🚀 Feature request Would like to understand if there is any plan to implement/integrate model interpretation/explanation techniques like [DeepLIFT](https://arxiv.org/abs/1704.02685) or GradientExplainer from [SHAP](https://github.com/slundberg/shap) into Merlin? SHAP natively supports model...

question
status/needs-triage
P2

When I passing a lambda function to fill in additional parameters, the map function can not find the f function that is called inside lambda function: ``` import mlcrate as...

bug
help wanted

First of all, thank you for developing this awesome package! PySpark/H2O-based algorithms are like gospels for real world large marketing datasets! Liked Uber's CausalML few years ago, but their implementation...