evalparse

I heard about myia from Julia's blog regarding building a language for AI. Myia is designed for that, but there are recent innovations from Julia like Zygote that performs reverse-mode...

the codes in the example are wrong

1

```julia module Example using FlatBuffers @with_kw mutable struct SimpleType x::Int32 = 1 end # ... other generated stuff end import FlatBuffers, Example # create an instance of our type val...

See MWE: ```julia t = JuliaDB.table((a = [1,2, missing, 4, missing],)) t = @transform_vec t {a = coalesce(:a, 2)} ``` `a` is not replaced, but the below is fine, the...

The example dont work

1

``` env = make("CartPole-v0", :human_pane) ```

add R's disk.frame as a solution

5

See https://github.com/xiaodaigh/disk.frame/issues/36 Happy to help out. I try to work on this on Sunday mornings.

Can the small factors levels limits be increased from <128?

1

I was looking into lib/factor/factor_v7.cpp and see code like `if (*nrOfLevels < 128)`. In the comment it says > // use 1 byte per int (Na encoding takes 1 bit)...

Looking forward to full description of fst format

11

I know it's going to be a bit of work, but a full-description of the fst format will help build connectors into it. From Julia, Python, and any other programming...

`apply_replace`?

1

If I want to apply a transform and replace the old columns? E.g. `ft.apply_replace(df, ohe, cols=[:a])` will replace the column `:a` with the values from the transform

Plan to add pipeline?

4

The below feels very boiler-platy ``` function FeatureTransforms.transform(data) # Define the Transforms we will apply p = Power(0.123) lc = LinearCombination([0.1, 0.9]) ohe = OneHotEncoding(["type1", "type2", "type3"]) features = deepcopy(data)...

## Expected Behavior Expected it to work with ZipFile.jl which is using an io stream ## Current Behavior Errors ## Possible Solution / Implementation Implement the `seekend` method ## Steps...