cleaning up readme, now moving on to building clustering algorithms from scratch

README.md

@@ -11,10 +11,10 @@ import json
 request_params = {
     "algorithm": "neural-network",
     "arguments": {
-        "epochs": 20,
+        "epochs": 100,
         "activation_func": "tanh",
-        "hidden_size": 12,
-        "learning_rate": 0.1
+        "hidden_size": 8,
+        "learning_rate": 0.01
     }
 }
 
@@ -31,237 +31,3 @@ r = requests.post(
 model_data = r.json()
 print(model_data)
 ```
-
-```json
-{
-    "activation_func": "tanh",
-    "b1": [
-        [
-            602.2458551757542,
-            -683.446253227002,
-            650.3183189757099,
-            -523.2155000337558,
-            609.3366256008726,
-            639.2267460958211,
-            695.2165647208506,
-            -606.7936305551088,
-            657.4012435144655,
-            711.4633443525767,
-            -471.4445655803913,
-            -630.9028119023186
-        ]
-    ],
-    "b2": [
-        [
-            67.47031899621929
-        ]
-    ],
-    "epochs": 20,
-    "func_prime": "tanh_prime",
-    "hidden_size": 12,
-    "learning_rate": 0.1,
-    "loss_history": [
-        7.461892920397806,
-        3.5105095887100286,
-        3.3859446278971737,
-        3.4806412166759375,
-        3.371428625854261,
-        3.4857142857142858,
-        3.3714285714285714,
-        3.48730595787098,
-        3.485714285485333,
-        3.3714285714285714,
-        3.4857142857142858,
-        3.4857142857142858,
-        3.4857142857142858,
-        3.3714285714285714,
-        3.5428571428571427,
-        3.4857142857142858,
-        3.485714285632444,
-        3.3714285714285714,
-        3.4857142857142858,
-        3.4857142857142858
-    ],
-    "mse": 4.366666666666666,
-    "w1": [
-        [
-            207.21370782767613,
-            -234.36758639516955,
-            223.138392823433,
-            -181.15547589171842,
-            209.25701811587953,
-            212.01236197395147,
-            222.77599062157392,
-            -209.86998324411556,
-            223.21606629672203,
-            240.23438173347404,
-            -152.44942030486683,
-            -204.9225317835803
-        ],
-        [
-            229.63220261470508,
-            -263.50359108398936,
-            248.70108057424608,
-            -200.62149189864414,
-            233.2719960712533,
-            244.95992976697852,
-            264.002073506371,
-            -233.06264745543191,
-            250.09188502741318,
-            272.63944378494415,
-            -182.2009679976884,
-            -240.4510248021291
-        ],
-        [
-            138.18702051907664,
-            -156.58749787870684,
-            147.69195397715987,
-            -119.38899990797744,
-            139.13330931089936,
-            148.72414234071377,
-            160.8962313494786,
-            -138.41372650228243,
-            152.08258913831452,
-            162.33017016825823,
-            -107.55668307217107,
-            -145.40927349021786
-        ],
-        [
-            80.41290811507756,
-            -90.13436061161102,
-            84.13085847223971,
-            -68.30212833885442,
-            79.47595245611743,
-            83.21680900863142,
-            86.27896789463828,
-            -80.74680560543842,
-            83.83413687806267,
-            90.56585130892569,
-            -57.458134412543025,
-            -80.8434826355516
-        ],
-        [
-            81.11703964929961,
-            -92.44245617525553,
-            88.49474524464306,
-            -72.04388326457483,
-            82.98034898452103,
-            81.15849551944248,
-            85.2116748195986,
-            -83.20067331132182,
-            86.0305118859619,
-            93.16829004526869,
-            -56.72096416244479,
-            -77.60518356776531
-        ],
-        [
-            -1.2378552385524266,
-            1.0036304366192623,
-            -1.6090159995321964,
-            2.0394495973086006,
-            -2.0180183762339814,
-            -1.3873816606742801,
-            -1.0921076991064267,
-            1.4708199557617438,
-            -1.5610521257407746,
-            -1.9666673209706442,
-            1.9076517668995745,
-            -1.040341749903375
-        ],
-        [
-            -140.07549569653207,
-            159.79258368372882,
-            -151.127437087266,
-            121.71130403554734,
-            -141.38828696302818,
-            -150.83274265279388,
-            -164.8700178408228,
-            140.14741802182937,
-            -155.16546152004372,
-            -166.64050877887058,
-            112.77911212222166,
-            148.51991496622043
-        ],
-        [
-            -192.41268009408034,
-            220.8347733584644,
-            -210.0422475439458,
-            167.97957633446296,
-            -195.6193849250513,
-            -202.8005919557673,
-            -216.60363528226284,
-            195.88577794127278,
-            -207.56261064595896,
-            -225.72144673652377,
-            143.59365538519984,
-            197.0929821983936
-        ],
-        [
-            -28.16557705608608,
-            33.10058982579867,
-            -30.42362586778765,
-            25.463967855559,
-            -30.037162594547162,
-            -27.1780221951157,
-            -29.012190600654534,
-            29.46055196419518,
-            -28.545992349262605,
-            -30.547444878206573,
-            14.326183936375225,
-            22.847682776553654
-        ],
-        [
-            -52.927836819688835,
-            59.928298086414046,
-            -57.63233394130635,
-            45.77995718777185,
-            -52.10930825304532,
-            -54.41806454664905,
-            -56.50225247051461,
-            52.78060231673277,
-            -54.86575873235864,
-            -60.2703962373473,
-            39.00509354075285,
-            50.7498660995501
-        ]
-    ],
-    "w2": [
-        [
-            52.018661530077026
-        ],
-        [
-            -55.44086180940142
-        ],
-        [
-            54.045741372334284
-        ],
-        [
-            -48.61944689242345
-        ],
-        [
-            52.311190899741064
-        ],
-        [
-            55.50646368409345
-        ],
-        [
-            56.132466993080044
-        ],
-        [
-            -52.31844356040513
-        ],
-        [
-            55.59854459451529
-        ],
-        [
-            58.05680177825883
-        ],
-        [
-            -48.22523804471059
-        ],
-        [
-            -54.561775545109555
-        ]
-    ]
-}
-```

app.py

@@ -1,6 +1,5 @@
 from flask import Flask, request, jsonify, make_response, render_template
 
-from dataset.random import random_dataset
 from dataset.iris import iris
 from opts import options
 
@@ -52,4 +51,4 @@ def index():
 
 
 if __name__ == "__main__":
-    app.run()
+    app.run(debug=False)

neural_network/backprop.py

@@ -65,9 +65,6 @@ def bp(
 
 
 def compute_node(arr, w, b, func):
-    """
-    Computes nodes during forward prop
-    """
     return func(np.dot(arr, w) + b)