neural_nets_lib 0.4.0 · OCaml Package

module Utils = Arrayjit.Utils

module Debug_runtime = Utils.Debug_runtime

type box = PrintBox.t

val sexp_of_box : 'a -> Sexplib0.Sexp.t

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

]

val sexp_of_dag : dag -> Sexplib0.Sexp.t

val boxify : Base.int -> dag -> dag

val dag_to_box : dag -> box

val reformat_dag : Base.int -> dag -> box

type plot_spec =

| Scatterplot of {
1. points : (Base.float * Base.float) Base.array;
2. pixel : Base.string;
}
| Line_plot of {
1. points : Base.float Base.array;
2. pixel : Base.string;
}
| Boundary_map of {
1. callback : (Base.float * Base.float) -> Base.bool;
2. pixel_true : Base.string;
3. pixel_false : Base.string;
}
| Line_plot_adaptive of {
1. callback : Base.float -> Base.float;
2. mutable cache : Base.float Base.Map.M(Base.Float).t;
3. pixel : Base.string;
}

val sexp_of_plot_spec : plot_spec -> Sexplib0.Sexp.t

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.t

val concise_float : prec:int -> float -> Base.String.t

val plot : 
  ?prec:int ->
  ?no_axes:bool ->
  ?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.t

type table_row_spec =

| Benchmark of {
1. bench_title : Base.string;
2. time_in_sec : Base.float;
3. mem_in_bytes : Base.int;
4. result_label : Base.string;
5. result : Base.Sexp.t;
}

val sexp_of_table_row_spec : table_row_spec -> Sexplib0.Sexp.t

val nolines : Base.String.t -> Base.String.t

val table : table_row_spec Base.List.t -> PrintBox.t

package neural_nets_lib