package neural_nets_lib
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>
A from-scratch Deep Learning framework with an optimizing compiler, shape inference, concise syntax
Install
dune-project
Dependency
Authors
Maintainers
Sources
0.3.3.3.tar.gz
md5=9170d4d98422350c9a73a95adfb795dc
sha512=c1b024a69b1d0338af6e34508dbf6dccf3c2b6cc156e7628c3d7853c7040e225bdfc0a8731bb4db5a97edba90e26439987bfa505154d23af46f119c07ad809ed
doc/neural_nets_lib/Ocannl/PrintBox_utils/index.html
Module Ocannl.PrintBox_utilsSource
Source
type dag = [ | `Empty| `Pad of dag| `Frame of dag| `Align of [ `Left | `Center | `Right ] * [ `Top | `Center | `Bottom ] * dag| `Text of Base.string| `Box of box| `Vlist of Base.bool * dag Base.list| `Hlist of Base.bool * dag Base.list| `Table of dag Base.array Base.array| `Tree of dag * dag Base.list| `Embed_subtree_ID of Base.string| `Subtree_with_ID of Base.string * dag
]Source
type plot_spec = | Scatterplot of {points : (Base.float * Base.float) Base.array;pixel : Base.string;
}| Line_plot of {points : Base.float Base.array;pixel : Base.string;
}| Boundary_map of {callback : (Base.float * Base.float) -> Base.bool;pixel_true : Base.string;pixel_false : Base.string;
}| Line_plot_adaptive of {callback : Base.float -> Base.float;mutable cache : Base.float Base.Map.M(Base.Float).t;pixel : Base.string;
}
Source
val plot_canvas :
?canvas:Base.string Base.Array.t Base.Array.t ->
?size:(Base.int * Base.int) ->
plot_spec Base.list ->
Base.float
* Base.float
* Base.float
* Base.float
* Base.string Base.Array.t Base.Array.tSource
val plot :
?prec:int ->
?canvas:Base.string Base.Array.t Base.Array.t ->
?size:(Base.int * Base.int) ->
x_label:string ->
y_label:Base.String.t ->
plot_spec Base.list ->
PrintBox.tSource
type table_row_spec = | Benchmark of {bench_title : Base.string;time_in_sec : Base.float;mem_in_bytes : Base.int;result_label : Base.string;result : Base.Sexp.t;
}
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>