From 98c154771a6c7c9934251834e9ed51f03ac676eb Mon Sep 17 00:00:00 2001
From: Alexander Munch-Hansen <alexmunchhansen@gmail.com>
Date: Sat, 6 Apr 2019 22:39:19 +0200
Subject: [PATCH] Worst svm ever

---
 .../strategies/nightness_classifier.pkl       | Bin 0 -> 1640 bytes
 server/nightr/strategies/svm_strat.py         |  26 ++++++++++++++----
 2 files changed, 20 insertions(+), 6 deletions(-)
 create mode 100644 server/nightr/strategies/nightness_classifier.pkl

diff --git a/server/nightr/strategies/nightness_classifier.pkl b/server/nightr/strategies/nightness_classifier.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..554fa03defdbfcf8ed4507e416c2bfd519a9298d
GIT binary patch
literal 1640
zcmZuyU2GIp6rSD6Pp4F?R#5~MExJ${%a2;1IJQMs7+G<#FbaB^nZ3I+barOW%<Muj
zqa{!%CdT;l>WfCRK1ejthrY<0nD|mP_JQbw1PR$Rq?+)c;?KQjw)>;KnarJg?)}dB
z&d)tF-ev@&Hr0Gb3d%*vu(cqdfw*_yun5B1<B*6TnNpVvf{>$z6<DrA@+HRz`A1-C
z9)&iwjqSQ+A8t?=u`gm3JsTF`w?Trk0gKheOg>6|huW|NkNbKamZCUE3qGaLuCyVd
zpcRW6h-vxcv7ggtyI+abxHR7f9ciWo2dW5N8<wTzJ^JqNe*O5mnqWJ_(3zI!YG;yc
zc1mz#1GR)ns25na>%dJ7aXS+Srf)f;mQ#SPNwtFsJm1wd-LkE43~ruOMJ6&d!=xmz
zj#0Qp`C47ZMLb;O2(=1k2)AZbZlO$l-3=&opHY{xWl=jytdRO}+pd4uK$x#NIk!lH
zPzx#C9>YlBX+DE3Kcja3M>Byt>PezUnJ!1O1L?4<+m<dlrJ^@RJj-BN6f=A===<8(
zeqZxE>WgqEOX7+M?n)t>prj*bSZN?obaEO$F2X8|bez(=mE;86g96vjG4A)8ow&+{
zV=UvVYgk-~aG%OUo$rVH6+uayhMp{}NwIYDj10g7nM?*f$Co06@Su+2)NI>5LRhvv
zNKKY>c9@Mhd45K^wQ?k|*5rPyi=a1Ut~6Jf$nYVP@iJGNF#)R|*2e^-EIiBznEyB3
zr<)C1g1{N_frUuo(%aA|J)XXx<aw?i64;0gHbt<xiNPbS3^v1~F@wjl(7!N)Ee!_T
zy4uxbqfCv^^#cN1(bl#I2I{tyj#IF`W^D~Rk;idGt~jTw<w{k4yJshRs<i+L!n@Ze
zMyenFB)>L${?*y@SLI*+Sa;}f_a*uFE0;ca=S{ZGO6<8Nw|}$!jZc64US2O=J3jON
zv^=kO`lCc~#q^B4t#V>(<-~=$-c5y$*^9r;$X{OUWluwI@1ak|zes*n*L$IBq}p?K
zN<R4BTdz<3FePKsS<{#g=;P?59KjQHCnsRA=3+m($RmVN;@2-%(rjX|PC#G?p~DgE
zn1?2m<SBTvB|Z$o#@xBu9NV`Xc6|)$v4lQ_O41QLT~{&zI~PzPjAMQ9jxb1I7s8YX
zo@s*ZZh`&%`L}-!Ntfk1Y=}SxVb4aerwR643vB4m1C<>EpABID$y*`zhY~A?tRi6W
z@NyEq1ACPuuZZXIENSv;1numLV1JVxwZ%>x5LSD<&yl9EzJS;lBREjU@~|FU0A0VQ
e=dglF?H@u|^W*;rcnN*)lQwLTHp0s#UHTU&;REXc

literal 0
HcmV?d00001

diff --git a/server/nightr/strategies/svm_strat.py b/server/nightr/strategies/svm_strat.py
index 78a760c..58a17f6 100644
--- a/server/nightr/strategies/svm_strat.py
+++ b/server/nightr/strategies/svm_strat.py
@@ -6,10 +6,11 @@ import json
 import numpy as np
 
 
-from server.nightr.strategies.strat_utils import write_json
+from .strat_utils import write_json
+from ..util import Context, Prediction
 
 
-def find_data(time):
+def write_data(time):
     write_json("https://portal.opendata.dk/api/3/action/datastore_search?resource_id=2a82a145-0195-4081-a13c-b0e587e9b89c", "parking_aarhus", time)
 
 def load_data():
@@ -18,7 +19,7 @@ def load_data():
     Y = []
 
     for filename in glob.glob("parking_aarhus*"):
-        p_class = '2330' in filename
+        p_class = '2235' in filename
 
         with open(filename) as file:
             data = json.load(file)
@@ -32,13 +33,26 @@ def load_data():
 
 def train():
     X, Y = load_data()
-    classifier = svm.SVC(C=10, gamma=0.01, probability=True)
+    classifier = svm.SVC(gamma=0.01, probability=True)
     classifier.fit(X, Y)
     joblib.dump(classifier, "nightness_classifier.pkl")
 
 def predict(X):
     classifier = joblib.load("nightness_classifier.pkl")
-    prob = classifier.predict_proba(X)
+    prob = classifier.predict_proba(np.array(X).reshape(1, -1))
     return prob[0, 1]
 
-train()
+
+def perform_svm_pred(context: Context) -> Prediction:
+    p = Prediction()
+    data = requests.get('https://portal.opendata.dk/api/3/action/datastore_search?resource_id=2a82a145-0195-4081-a13c-b0e587e9b89c')
+
+    records = data.json()['result']['records']
+    X = [house['vehicleCount'] / house['totalSpaces'] for house in records]
+    X = [min(x, 1) for x in X]
+    p.reasons.append("Since we only have two data points")
+    p.reasons.append("Since our only two data points have 11 dimensions")
+    p.reasons.append("Since we are using a SVM")
+
+    p.probability = predict(X)
+    return p