diff --git a/examples/log_regression/Iris.csv b/examples/log_regression/Iris.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1bf42f25499fe73c70d9c767cb31163077c07e3e
--- /dev/null
+++ b/examples/log_regression/Iris.csv
@@ -0,0 +1,151 @@
+Id,SepalLengthCm,SepalWidthCm,PetalLengthCm,PetalWidthCm,Species
+1,5.1,3.5,1.4,0.2,Iris-setosa
+2,4.9,3.0,1.4,0.2,Iris-setosa
+3,4.7,3.2,1.3,0.2,Iris-setosa
+4,4.6,3.1,1.5,0.2,Iris-setosa
+5,5.0,3.6,1.4,0.2,Iris-setosa
+6,5.4,3.9,1.7,0.4,Iris-setosa
+7,4.6,3.4,1.4,0.3,Iris-setosa
+8,5.0,3.4,1.5,0.2,Iris-setosa
+9,4.4,2.9,1.4,0.2,Iris-setosa
+10,4.9,3.1,1.5,0.1,Iris-setosa
+11,5.4,3.7,1.5,0.2,Iris-setosa
+12,4.8,3.4,1.6,0.2,Iris-setosa
+13,4.8,3.0,1.4,0.1,Iris-setosa
+14,4.3,3.0,1.1,0.1,Iris-setosa
+15,5.8,4.0,1.2,0.2,Iris-setosa
+16,5.7,4.4,1.5,0.4,Iris-setosa
+17,5.4,3.9,1.3,0.4,Iris-setosa
+18,5.1,3.5,1.4,0.3,Iris-setosa
+19,5.7,3.8,1.7,0.3,Iris-setosa
+20,5.1,3.8,1.5,0.3,Iris-setosa
+21,5.4,3.4,1.7,0.2,Iris-setosa
+22,5.1,3.7,1.5,0.4,Iris-setosa
+23,4.6,3.6,1.0,0.2,Iris-setosa
+24,5.1,3.3,1.7,0.5,Iris-setosa
+25,4.8,3.4,1.9,0.2,Iris-setosa
+26,5.0,3.0,1.6,0.2,Iris-setosa
+27,5.0,3.4,1.6,0.4,Iris-setosa
+28,5.2,3.5,1.5,0.2,Iris-setosa
+29,5.2,3.4,1.4,0.2,Iris-setosa
+30,4.7,3.2,1.6,0.2,Iris-setosa
+31,4.8,3.1,1.6,0.2,Iris-setosa
+32,5.4,3.4,1.5,0.4,Iris-setosa
+33,5.2,4.1,1.5,0.1,Iris-setosa
+34,5.5,4.2,1.4,0.2,Iris-setosa
+35,4.9,3.1,1.5,0.1,Iris-setosa
+36,5.0,3.2,1.2,0.2,Iris-setosa
+37,5.5,3.5,1.3,0.2,Iris-setosa
+38,4.9,3.1,1.5,0.1,Iris-setosa
+39,4.4,3.0,1.3,0.2,Iris-setosa
+40,5.1,3.4,1.5,0.2,Iris-setosa
+41,5.0,3.5,1.3,0.3,Iris-setosa
+42,4.5,2.3,1.3,0.3,Iris-setosa
+43,4.4,3.2,1.3,0.2,Iris-setosa
+44,5.0,3.5,1.6,0.6,Iris-setosa
+45,5.1,3.8,1.9,0.4,Iris-setosa
+46,4.8,3.0,1.4,0.3,Iris-setosa
+47,5.1,3.8,1.6,0.2,Iris-setosa
+48,4.6,3.2,1.4,0.2,Iris-setosa
+49,5.3,3.7,1.5,0.2,Iris-setosa
+50,5.0,3.3,1.4,0.2,Iris-setosa
+51,7.0,3.2,4.7,1.4,Iris-versicolor
+52,6.4,3.2,4.5,1.5,Iris-versicolor
+53,6.9,3.1,4.9,1.5,Iris-versicolor
+54,5.5,2.3,4.0,1.3,Iris-versicolor
+55,6.5,2.8,4.6,1.5,Iris-versicolor
+56,5.7,2.8,4.5,1.3,Iris-versicolor
+57,6.3,3.3,4.7,1.6,Iris-versicolor
+58,4.9,2.4,3.3,1.0,Iris-versicolor
+59,6.6,2.9,4.6,1.3,Iris-versicolor
+60,5.2,2.7,3.9,1.4,Iris-versicolor
+61,5.0,2.0,3.5,1.0,Iris-versicolor
+62,5.9,3.0,4.2,1.5,Iris-versicolor
+63,6.0,2.2,4.0,1.0,Iris-versicolor
+64,6.1,2.9,4.7,1.4,Iris-versicolor
+65,5.6,2.9,3.6,1.3,Iris-versicolor
+66,6.7,3.1,4.4,1.4,Iris-versicolor
+67,5.6,3.0,4.5,1.5,Iris-versicolor
+68,5.8,2.7,4.1,1.0,Iris-versicolor
+69,6.2,2.2,4.5,1.5,Iris-versicolor
+70,5.6,2.5,3.9,1.1,Iris-versicolor
+71,5.9,3.2,4.8,1.8,Iris-versicolor
+72,6.1,2.8,4.0,1.3,Iris-versicolor
+73,6.3,2.5,4.9,1.5,Iris-versicolor
+74,6.1,2.8,4.7,1.2,Iris-versicolor
+75,6.4,2.9,4.3,1.3,Iris-versicolor
+76,6.6,3.0,4.4,1.4,Iris-versicolor
+77,6.8,2.8,4.8,1.4,Iris-versicolor
+78,6.7,3.0,5.0,1.7,Iris-versicolor
+79,6.0,2.9,4.5,1.5,Iris-versicolor
+80,5.7,2.6,3.5,1.0,Iris-versicolor
+81,5.5,2.4,3.8,1.1,Iris-versicolor
+82,5.5,2.4,3.7,1.0,Iris-versicolor
+83,5.8,2.7,3.9,1.2,Iris-versicolor
+84,6.0,2.7,5.1,1.6,Iris-versicolor
+85,5.4,3.0,4.5,1.5,Iris-versicolor
+86,6.0,3.4,4.5,1.6,Iris-versicolor
+87,6.7,3.1,4.7,1.5,Iris-versicolor
+88,6.3,2.3,4.4,1.3,Iris-versicolor
+89,5.6,3.0,4.1,1.3,Iris-versicolor
+90,5.5,2.5,4.0,1.3,Iris-versicolor
+91,5.5,2.6,4.4,1.2,Iris-versicolor
+92,6.1,3.0,4.6,1.4,Iris-versicolor
+93,5.8,2.6,4.0,1.2,Iris-versicolor
+94,5.0,2.3,3.3,1.0,Iris-versicolor
+95,5.6,2.7,4.2,1.3,Iris-versicolor
+96,5.7,3.0,4.2,1.2,Iris-versicolor
+97,5.7,2.9,4.2,1.3,Iris-versicolor
+98,6.2,2.9,4.3,1.3,Iris-versicolor
+99,5.1,2.5,3.0,1.1,Iris-versicolor
+100,5.7,2.8,4.1,1.3,Iris-versicolor
+101,6.3,3.3,6.0,2.5,Iris-virginica
+102,5.8,2.7,5.1,1.9,Iris-virginica
+103,7.1,3.0,5.9,2.1,Iris-virginica
+104,6.3,2.9,5.6,1.8,Iris-virginica
+105,6.5,3.0,5.8,2.2,Iris-virginica
+106,7.6,3.0,6.6,2.1,Iris-virginica
+107,4.9,2.5,4.5,1.7,Iris-virginica
+108,7.3,2.9,6.3,1.8,Iris-virginica
+109,6.7,2.5,5.8,1.8,Iris-virginica
+110,7.2,3.6,6.1,2.5,Iris-virginica
+111,6.5,3.2,5.1,2.0,Iris-virginica
+112,6.4,2.7,5.3,1.9,Iris-virginica
+113,6.8,3.0,5.5,2.1,Iris-virginica
+114,5.7,2.5,5.0,2.0,Iris-virginica
+115,5.8,2.8,5.1,2.4,Iris-virginica
+116,6.4,3.2,5.3,2.3,Iris-virginica
+117,6.5,3.0,5.5,1.8,Iris-virginica
+118,7.7,3.8,6.7,2.2,Iris-virginica
+119,7.7,2.6,6.9,2.3,Iris-virginica
+120,6.0,2.2,5.0,1.5,Iris-virginica
+121,6.9,3.2,5.7,2.3,Iris-virginica
+122,5.6,2.8,4.9,2.0,Iris-virginica
+123,7.7,2.8,6.7,2.0,Iris-virginica
+124,6.3,2.7,4.9,1.8,Iris-virginica
+125,6.7,3.3,5.7,2.1,Iris-virginica
+126,7.2,3.2,6.0,1.8,Iris-virginica
+127,6.2,2.8,4.8,1.8,Iris-virginica
+128,6.1,3.0,4.9,1.8,Iris-virginica
+129,6.4,2.8,5.6,2.1,Iris-virginica
+130,7.2,3.0,5.8,1.6,Iris-virginica
+131,7.4,2.8,6.1,1.9,Iris-virginica
+132,7.9,3.8,6.4,2.0,Iris-virginica
+133,6.4,2.8,5.6,2.2,Iris-virginica
+134,6.3,2.8,5.1,1.5,Iris-virginica
+135,6.1,2.6,5.6,1.4,Iris-virginica
+136,7.7,3.0,6.1,2.3,Iris-virginica
+137,6.3,3.4,5.6,2.4,Iris-virginica
+138,6.4,3.1,5.5,1.8,Iris-virginica
+139,6.0,3.0,4.8,1.8,Iris-virginica
+140,6.9,3.1,5.4,2.1,Iris-virginica
+141,6.7,3.1,5.6,2.4,Iris-virginica
+142,6.9,3.1,5.1,2.3,Iris-virginica
+143,5.8,2.7,5.1,1.9,Iris-virginica
+144,6.8,3.2,5.9,2.3,Iris-virginica
+145,6.7,3.3,5.7,2.5,Iris-virginica
+146,6.7,3.0,5.2,2.3,Iris-virginica
+147,6.3,2.5,5.0,1.9,Iris-virginica
+148,6.5,3.0,5.2,2.0,Iris-virginica
+149,6.2,3.4,5.4,2.3,Iris-virginica
+150,5.9,3.0,5.1,1.8,Iris-virginica
diff --git a/examples/log_regression/__init__.py b/examples/log_regression/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/examples/log_regression/main.html b/examples/log_regression/main.html
new file mode 100644
index 0000000000000000000000000000000000000000..858b9385a06985f596ad9a6e0facc86b8d9ac9c6
--- /dev/null
+++ b/examples/log_regression/main.html
@@ -0,0 +1,85 @@
+
+
+
+
+<!DOCTYPE html>
+<html lang="en">
+
+ <head>
+
+ <meta charset="utf-8">
+ <title>Bokeh Plot</title>
+
+
+
+
+
+
+
+ <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js"></script>
+ <script type="text/javascript">
+ Bokeh.set_log_level("info");
+ </script>
+
+
+
+
+ </head>
+
+
+ <body>
+
+
+
+
+
+
+ <div class="bk-root" id="0404cce4-d3b9-4e96-88e7-e633d01327c4" data-root-id="1048"></div>
+
+
+
+
+
+ <script type="application/json" id="1217">
+ {"161c1ee2-b4f4-43e7-9389-e8d99579e12d":{"defs":[],"roots":{"references":[{"attributes":{"factors":["1 > 0.80","1 > 0.68","2 <= -1.38","-0.03 < 1 <= 0.64"]},"id":"1051","type":"FactorRange"},{"attributes":{"axis":{"id":"1059"},"coordinates":null,"group":null,"ticker":null},"id":"1061","type":"Grid"},{"attributes":{"source":{"id":"1080"}},"id":"1085","type":"CDSView"},{"attributes":{},"id":"1057","type":"LinearScale"},{"attributes":{"coordinates":null,"formatter":{"id":"1092"},"group":null,"major_label_policy":{"id":"1093"},"ticker":{"id":"1060"}},"id":"1059","type":"CategoricalAxis"},{"attributes":{"fill_color":{"value":"#fc8d59"},"hatch_color":{"value":"#fc8d59"},"line_color":{"value":"#fc8d59"},"top":{"field":"top"},"width":{"value":0.5},"x":{"field":"x"}},"id":"1081","type":"VBar"},{"attributes":{"below":[{"id":"1059"}],"center":[{"id":"1061"},{"id":"1065"}],"height":400,"left":[{"id":"1062"}],"renderers":[{"id":"1084"}],"title":{"id":"1049"},"toolbar":{"id":"1073"},"x_range":{"id":"1051"},"x_scale":{"id":"1055"},"y_range":{"id":"1053"},"y_scale":{"id":"1057"}},"id":"1048","subtype":"Figure","type":"Plot"},{"attributes":{"coordinates":null,"group":null,"text":"Feature Importance Scores"},"id":"1049","type":"Title"},{"attributes":{"fill_alpha":{"value":0.1},"fill_color":{"value":"#fc8d59"},"hatch_alpha":{"value":0.1},"hatch_color":{"value":"#fc8d59"},"line_alpha":{"value":0.1},"line_color":{"value":"#fc8d59"},"top":{"field":"top"},"width":{"value":0.5},"x":{"field":"x"}},"id":"1082","type":"VBar"},{"attributes":{"coordinates":null,"data_source":{"id":"1080"},"glyph":{"id":"1081"},"group":null,"hover_glyph":null,"muted_glyph":{"id":"1083"},"nonselection_glyph":{"id":"1082"},"view":{"id":"1085"}},"id":"1084","type":"GlyphRenderer"},{"attributes":{},"id":"1069","type":"SaveTool"},{"attributes":{},"id":"1055","type":"CategoricalScale"},{"attributes":{"tools":[{"id":"1066"},{"id":"1067"},{"id":"1068"},{"id":"1069"},{"id":"1070"},{"id":"1071"}]},"id":"1073","type":"Toolbar"},{"attributes":{"fill_alpha":{"value":0.2},"fill_color":{"value":"#fc8d59"},"hatch_alpha":{"value":0.2},"hatch_color":{"value":"#fc8d59"},"line_alpha":{"value":0.2},"line_color":{"value":"#fc8d59"},"top":{"field":"top"},"width":{"value":0.5},"x":{"field":"x"}},"id":"1083","type":"VBar"},{"attributes":{},"id":"1060","type":"CategoricalTicker"},{"attributes":{},"id":"1066","type":"PanTool"},{"attributes":{},"id":"1053","type":"DataRange1d"},{"attributes":{"data":{"top":[0.9182248108408918,0.010593237834966903,-0.0027127181247810447,-0.001100310815155346],"x":["1 > 0.80","1 > 0.68","2 <= -1.38","-0.03 < 1 <= 0.64"]},"selected":{"id":"1095"},"selection_policy":{"id":"1094"}},"id":"1080","type":"ColumnDataSource"},{"attributes":{},"id":"1070","type":"ResetTool"},{"attributes":{},"id":"1067","type":"WheelZoomTool"},{"attributes":{},"id":"1089","type":"BasicTickFormatter"},{"attributes":{"bottom_units":"screen","coordinates":null,"fill_alpha":0.5,"fill_color":"lightgrey","group":null,"left_units":"screen","level":"overlay","line_alpha":1.0,"line_color":"black","line_dash":[4,4],"line_width":2,"right_units":"screen","syncable":false,"top_units":"screen"},"id":"1072","type":"BoxAnnotation"},{"attributes":{"overlay":{"id":"1072"}},"id":"1068","type":"BoxZoomTool"},{"attributes":{"coordinates":null,"formatter":{"id":"1089"},"group":null,"major_label_policy":{"id":"1090"},"ticker":{"id":"1063"}},"id":"1062","type":"LinearAxis"},{"attributes":{},"id":"1090","type":"AllLabels"},{"attributes":{},"id":"1071","type":"HelpTool"},{"attributes":{},"id":"1093","type":"AllLabels"},{"attributes":{},"id":"1092","type":"CategoricalTickFormatter"},{"attributes":{},"id":"1063","type":"BasicTicker"},{"attributes":{},"id":"1094","type":"UnionRenderers"},{"attributes":{"axis":{"id":"1062"},"coordinates":null,"dimension":1,"group":null,"ticker":null},"id":"1065","type":"Grid"},{"attributes":{},"id":"1095","type":"Selection"}],"root_ids":["1048"]},"title":"Bokeh Application","version":"2.4.2"}}
+ </script>
+ <script type="text/javascript">
+ (function() {
+ const fn = function() {
+ Bokeh.safely(function() {
+ (function(root) {
+ function embed_document(root) {
+
+ const docs_json = document.getElementById('1217').textContent;
+ const render_items = [{"docid":"161c1ee2-b4f4-43e7-9389-e8d99579e12d","root_ids":["1048"],"roots":{"1048":"0404cce4-d3b9-4e96-88e7-e633d01327c4"}}];
+ root.Bokeh.embed.embed_items(docs_json, render_items);
+
+ }
+ if (root.Bokeh !== undefined) {
+ embed_document(root);
+ } else {
+ let attempts = 0;
+ const timer = setInterval(function(root) {
+ if (root.Bokeh !== undefined) {
+ clearInterval(timer);
+ embed_document(root);
+ } else {
+ attempts++;
+ if (attempts > 100) {
+ clearInterval(timer);
+ console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
+ }
+ }
+ }, 10, root)
+ }
+ })(window);
+ });
+ };
+ if (document.readyState != "loading") fn();
+ else document.addEventListener("DOMContentLoaded", fn);
+ })();
+ </script>
+
+ </body>
+
+</html>
\ No newline at end of file
diff --git a/examples/log_regression/main.py b/examples/log_regression/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..38a6c2ab1d09a2b69b8696cf99c56df206aedce5
--- /dev/null
+++ b/examples/log_regression/main.py
@@ -0,0 +1,42 @@
+import numpy as np
+# import pandas as pd
+import sys
+sys.path.append('/Users/jashanpreetsingh/Desktop/Senior Design Project/why-senior-project/src')
+from synthetic import *
+from data_vis import vis_synthetic
+from data_vis import decisionTreemodel
+from data_vis import logisticRegressionmodel
+import config as config
+from modelling import *
+
+from bokeh.io import curdoc
+from bokeh.models import ColumnDataSource, Row
+from bokeh.palettes import Spectral6
+
+np.random.seed(0)
+
+data = SyntheticData(shuffle=False)
+
+config.X_train, config.X_test, config.y_train, config.y_test = data.generator()
+
+#instantiate model here.
+#finalModel = Models()
+
+
+# testModel = decisionTreemodel(config.X_train, config.X_test, config.y_train, config.y_test, 9)
+
+testModel1 = logisticRegressionmodel(config.X_train, config.X_test, config.y_train, config.y_test, 9)
+
+#fit model using fit method on the model class
+
+config.spectral = np.hstack([Spectral6] * 20)
+
+colors = [config.spectral[i] for i in config.y_train]
+
+config.source = ColumnDataSource(dict(x=config.X_train[:,0], y=config.X_train[:,1], colors=colors))
+
+
+b = vis_synthetic()
+
+curdoc().add_root(Row(config.inputs, b, testModel1)) #, text_input_widget, stext_output2))
+curdoc().title = "Logistic Regression"
\ No newline at end of file
diff --git a/examples/log_regression/theme.yaml b/examples/log_regression/theme.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ce434d51aee270c4301f01b4867133750d8ee485
--- /dev/null
+++ b/examples/log_regression/theme.yaml
@@ -0,0 +1,12 @@
+attrs:
+ Figure:
+ width: 400
+ height: 400
+ background_fill_color: 'lightgrey'
+ background_fill_alpha: 0.2
+
+ Grid:
+ grid_line_color: null
+
+ Title:
+ text_font_size: '13px'
\ No newline at end of file
diff --git a/src/data_vis.py b/src/data_vis.py
index 9f49c3dcf99ea0ee836fb5ca411e0d5ea19d768a..62c33a1f573d1d4d6c0b4222b2b5f2ed3544888d 100644
--- a/src/data_vis.py
+++ b/src/data_vis.py
@@ -38,7 +38,7 @@ def vis_synthetic():
def logisticRegressionmodel(X_train, X_test, Y_train, Y_test, record_value):
- """This is a docstring for decisionTreeVisuals
+ """This is a docstring for logisticRegressionVisuals
Returns:
_type_: _description_