Bin Dong 董斌

Thanks @cyrush and @nicolemarsaglia for the guidelines. Bests, Bin

Created a pull request here to address my issue. Please help to review it. https://github.com/marcotcr/lime/pull/705 Some note: Add predict_fn_accept_dense_only to explain_instance. When data_row (of explain_instance) is scipy.sparse.matrix but the model...

Hi @JulianKunkel , Thanks for the response. It looks like that one can only allow lseek64 once at the beginning of the sequentially read. So, I added a static variable...

Thanks @eddelbuettel @johnkerl for detailed explanation of the code and results. 1) Wired question, any API to disable the compression on coordination? 2) NO default compression on the attributes (values),...

Thanks @johnkerl for pointing the code. Now I am testing basic functions of writing data to TileDB. I will try the filter later. While I tried below code, it reports...

@ihnorton thanks for identifying the error. Yeah, it works now. Just to confirm what I understand is right about "Not currently; all dimension coordinates need to be supplied." Say I...

Thanks @ihnorton for the confirm.

Another question regarding read data by points I know users can use set_subarray to extract data ```cpp // Prepare the query Query query(ctx, array); query.set_subarray(subarray) .set_layout(layout) .set_data_buffer("a", data) .set_data_buffer("rows", rows_id)...

Thanks @eddelbuettel for the explanation. Here I just use the "diagonal" as a example by accident. General idea is to read any random points by their coordinates on sparse data....

@marcotcr since this only involves a few lines of code change. Would you mind help to review and merge it? Thanks