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Numpy-Neuron

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Jensen-holm commited on May 3, 2023

Commit

c2ccf60

1 Parent(s): 24f2542

cutting the front end mess and just using this as a backend api

Browse files

Files changed (14) hide show

README.md +0 -19
app.py +17 -29
build_dev.sh +0 -2
cluster/heirarchical.py +0 -0
dataset/random.py +14 -0
neural_network/backprop.py +1 -1
neural_network/main.py +3 -3
package-lock.json +0 -998
package.json +0 -5
run.sh +0 -3
static/src/input.css +0 -4
tailwind.config.js +0 -12
templates/index.html +0 -34
templates/opts.html +0 -32

README.md DELETED Viewed

@@ -1,19 +0,0 @@
-## Flask-Tailwindcss-Template
-### Preparing for your project
-1. `git clone https://github.com/Jensen-holm/Flask-Tailwindcss-Template && cd Flask-Tailwindcss-Template` <br>
-2. `rm -rf .git` <br>
-3. `mv * ..` <br>
-4. `cd ..` <br>
-5. `rm -rf Flask-Tailwindcss-Template` <br>
-### Develop
-1. `pip3 install -r requirements.txt` <br>
-2. `npm install` <br>
-(in one terminal window)
-3. `npx tailwindcss -i ./static/src/input.css -o ./static/dist/css/output.css --watch` <br>
-<br>
-(in another terminal window) <br>
-4. `chmod +x run.sh` <br>
-5. `./run.sh` <br>

app.py CHANGED Viewed

@@ -1,4 +1,4 @@
-from flask import Flask, render_template, request
 import numpy as np
 from opts import options
@@ -10,40 +10,28 @@ app = Flask(
 )
-def random_dataset(rows: int, features: int):
-    """
-    Initializes a training and a testing dataset in the form of numpy arrays
-    """
-    rng = np.random.default_rng()
-    X = rng.normal(size=(rows, features))
-    y = rng.integers(5, size=(rows, 1))
-    return X, y
-@app.route("/")
 def index():
-    return render_template("index.html")
-@app.route("/select_algorithm", methods=["GET", "POST"])
-def select_algorithm():
-    return
-@app.route("/process_algorithm", methods=["GET", "POST"])
-def process_algorithm():
-    alg = request.form.get('model-select')
-    func = options[alg]
-    # have a form for options based on the algorithm the user chose
-    # and set it as the args variable, make a 'go' button for this funcitonality
-    # to start the algorithm
-    args = request.form.get("params")
-    if args:
-        # create random numpy array dataset
-        X, y = random_dataset(100, 3)
-        func(X, y, args)
 if __name__ == '__main__':
-    app.run(debug=True)

+from flask import Flask, request
 import numpy as np
 from opts import options
 )
+@app.route("/", methods=["GET"])
 def index():
+    # make sure the request is valid
+    def is_valid():
+        if request.method == "GET":
+            return True
+        return False
+    if not is_valid():
+        return  # bad request status code and error message
+    # parse arguments
+    # perform analysis of choice
+    # return results
+    return
 if __name__ == '__main__':
+    app.run(
+        debug=True,
+    )

build_dev.sh DELETED Viewed

	@@ -1,2 +0,0 @@
1	- #!/bin/bash
2	- npx tailwindcss -i ./static/src/input.css -o ./static/dist/css/output.css --watch

cluster/heirarchical.py ADDED Viewed

File without changes

dataset/random.py ADDED Viewed

	@@ -0,0 +1,14 @@

+import numpy as np
+def random_dataset(rows: int, features: int):
+    """
+    the random_dataset function is used to
+    generate a random normal distribution of
+    data for testing different machine learning
+    algorithms specific to this project
+    """
+    rng = np.random.default_rng()
+    X = rng.normal(size=(rows, features))
+    y = rng.integers(5, size=(rows, 1))
+    return X, y

neural_network/backprop.py CHANGED Viewed

@@ -20,7 +20,7 @@ def get_args(args: dict, wb: dict):
 def fp(
     X_train: np.array,
     y_train: np.array,
-    actiavtion: callable,
     w1: np.array,
     w2: np.array,
     b1: np.array,

 def fp(
     X_train: np.array,
     y_train: np.array,
+    activation: callable,
     w1: np.array,
     w2: np.array,
     b1: np.array,

neural_network/main.py CHANGED Viewed

@@ -24,9 +24,9 @@ def init(
 def main(
-        X: np.array,
-        y: np.array,
-        args,
 ) -> None:
     wb = init(X, args["hidden_size"])
     X_train, X_test, y_train, y_test = train_test_split(

 def main(
+    X: np.array,
+    y: np.array,
+    args,
 ) -> None:
     wb = init(X, args["hidden_size"])
     X_train, X_test, y_train, y_test = train_test_split(

package-lock.json DELETED Viewed

@@ -1,998 +0,0 @@
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package.json DELETED Viewed

@@ -1,5 +0,0 @@
-{
-  "devDependencies": {
-    "tailwindcss": "^3.3.1"
-  }
-}

run.sh DELETED Viewed

@@ -1,3 +0,0 @@
-#!/bin/bash
-npx tailwindcss -i ./static/src/input.css -o ./static/dist/css/output.css
-gunicorn --bind :3000 --workers 1 --threads 8 --timeout 0 app:app

static/src/input.css DELETED Viewed

@@ -1,4 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;

tailwind.config.js DELETED Viewed

@@ -1,12 +0,0 @@
-/** @type {import('tailwindcss').Config} */
-module.exports = {
-  content: [
-      "./templates/**/*.html",
-      "./static/src/**/*.js"
-    ],
-  theme: {
-      extend: {},
-    },
-  plugins: [],
-}

templates/index.html DELETED Viewed

@@ -1,34 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <title>Data Mining From Scratch</title>
-    <link rel="stylesheet" href="{{ url_for('static', filename='dist/css/output.css') }}">
-    <!-- Add Tailwind CSS -->
-    <link rel="stylesheet" href="https://cdn.tailwindcss.com/css/tailwind.min.css">
-</head>
-<body class="bg-gray-100">
-<div class="container mx-auto flex flex-col items-center justify-center h-screen">
-    <div class="text-center mb-8">
-        <h1 class="text-4xl font-bold">Data Mining From Scratch</h1>
-        <p class="text-gray-500">By: Jensen Holm</p>
-    </div>
-    <div class="w-full md:w-1/3">
-        <form method="POST" action="{{ url_for('select_algorithm') }}">
-            <label class="block font-medium text-gray-700 mb-2" for="model-select">
-                Select Algorithm
-            </label>
-            <select id="model-select" name="model-select"
-                    class="form-select block w-full mt-1 rounded-md shadow-sm border-gray-300 focus:border-indigo-300 focus:ring focus:ring-indigo-200 focus:ring-opacity-50">
-                <option value="neural-network">Neural Network</option>
-                <option value="kmeans-clustering">Kmeans Clustering</option>
-                <option value="kmedoids-clustering">Kmedoids Clustering</option>
-            </select>
-            <button type="submit" class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded mt-4">
-                Go
-            </button>
-        </form>
-    </div>
-</div>
-</body>
-</html>

templates/opts.html DELETED Viewed

@@ -1,32 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <title>Data Mining From Scratch</title>
-    <link rel="stylesheet" href="{{ url_for('static', filename='dist/css/output.css') }}">
-</head>
-<body class="bg-gray-100">
-<div class="container mx-auto flex flex-col items-center justify-center h-screen">
-    <div class="text-center mb-8">
-        <h1 class="text-4xl font-bold">Data Mining From Scratch</h1>
-        <p class="text-gray-500">By: Jensen Holm</p>
-    </div>
-    <div class="w-full md:w-1/3">
-        <form method="POST" action="{{ url_for('process_algorithm') }}">
-            <label class="block font-medium text-gray-700 mb-2" for="model-select">
-                Tune {{ alg }} Parameters
-            </label>
-            <select id="model-select" name="model-select"
-                    class="form-select block w-full mt-1 rounded-md shadow-sm border-gray-300 focus:border-indigo-300 focus:ring focus:ring-indigo-200 focus:ring-opacity-50">
-                {{% for i in opts %}}
-                    <option value="{{i}}">{{ i }}</option>
-                {{% endfor %}}
-            </select>
-            <button type="submit" class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded mt-4">
-                Go
-            </button>
-        </form>
-    </div>
-</div>
-</body>
-</html>