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Data Mining from scratch backend
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Example Useage
import requests
import json
request_params = {
"algorithm": "neural-network",
"arguments": {
"epochs": 20,
"activation_func": "tanh",
"hidden_size": 12,
"learning_rate": 0.1
}
}
headers = {
"Content-Type": "application/json",
}
r = requests.post(
"https://data-mining-from-scratch-backend.onrender.com/",
headers=headers,
data=json.dumps(request_params),
)
model_data = r.json()
print(model_data)
{
"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
]
]
}