Merge branch '0.4.3'

Author: MegamindHenry

Project.toml

@@ -1,7 +1,7 @@
 name = "JudiLing"
 uuid = "b43a184b-0e9d-488b-813a-80fd5dbc9fd8"
 authors = ["Xuefeng Luo"]
-version = "0.4.2"
+version = "0.4.3"
 
 [deps]
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"

src/JudiLing.jl

@@ -24,5 +24,6 @@ include("output.jl")
 include("preprocess.jl")
 include("pickle.jl")
 include("test_combo.jl")
+include("display.jl")
 
 end

src/display.jl

@@ -0,0 +1,13 @@
+function display_SC(M, rownames, colnames; nrow=6, ncol=6)
+    M_part = M[1:nrow, 1:ncol]
+    rownames_part = rownames[1:nrow]
+    colnames_part = colnames[1:ncol]
+
+    df = DataFrame()
+    df["Data"] = rownames_part
+    for (i,coln) in enumerate(colnames_part)
+        df[coln] = M_part[:,i]
+    end
+
+    display(df)
+end

src/find_path.jl

@@ -18,6 +18,53 @@ struct Gold_Path_Info_Struct
     support::Float64
 end
 
+function learn_paths(
+    data,
+    cue_obj,
+    S_val,
+    F_train,
+    Chat_val;
+    threshold = 0.1,
+    is_tolerant = false,
+    tolerance = (-1000.0),
+    max_tolerance = 3,
+    grams = 3,
+    tokenized = true,
+    sep_token = "_",
+    keep_sep = true,
+    target_col = :Verb_syll,
+    verbose = true)
+    
+    max_t = JudiLing.cal_max_timestep(data, target_col)
+
+    learn_paths(
+        data,
+        data,
+        cue_obj.C,
+        S_val,
+        F_train,
+        Chat_val,
+        cue_obj.A,
+        cue_obj.i2f,
+        cue_obj.f2i;
+        gold_ind = nothing,
+        Shat_val = nothing,
+        check_gold_path = false,
+        max_t = max_t,
+        max_can = 10,
+        threshold = threshold,
+        is_tolerant = is_tolerant,
+        tolerance = tolerance,
+        max_tolerance = max_tolerance,
+        grams = grams,
+        tokenized = tokenized,
+        sep_token = sep_token,
+        keep_sep = keep_sep,
+        target_col = target_col,
+        verbose = verbose,
+    )
+end
+
 """
 learn_paths(data_train, data_val, C_train, S_val, F_train, Chat_val, A, i2f, f2i)