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/dports/math/R-cran-ddalpha/ddalpha/R/
H A Ddataf.sim.r13 cov[i,j] <- 0.2*exp(-abs(t[i] - t[j])/0.3)
31 class(learn) = "functional"
42 if (learn$labels[[i]] == 0){
46 if (learn$labels[[i]] == 1){
50 lines(learn$dataf[[i]]$args, learn$dataf[[i]]$vals, col=lineColor, lty=lineType)
54 return (list(learn = learn, test = test)) nameattr
64 mean0 <- 30*(1 - t)*t^2 + 0.5*abs(sin(20*pi*t))
68 cov[i,j] <- 0.2*exp(-abs(t[i] - t[j])/0.3)
89 class(learn) = "functional"
109 lines(learn$dataf[[i]]$args, learn$dataf[[i]]$vals, col=lineColor, lty=lineType)
[all …]
/dports/math/vowpal_wabbit/vowpal_wabbit-7.10/python/
H A Dtest.py11 if abs(a-b) > eps:
12 …+ str(a) + " and " + str(b) + " to be " + str(eps) + "-close, but they differ by " + str(abs(a-b)))
19 vw.learn("1 |x a b")
25 ex.learn() ; ex.learn() ; ex.learn() ; ex.learn()
50 ex.learn() ; ex.learn() ; ex.learn() ; ex.learn()
78 ex.learn()
96 ex.learn() ; ex.learn() ; ex.learn() ; ex.learn()
105 ex.learn()
/dports/math/R-cran-ddalpha/ddalpha/man/
H A Ddataf.sim.2.CFF07.Rd10 X(t) = m_0(t) + e(t), m_0(t) = 30*(1-t)*t^2 + 0.5*abs(sin(20*pi*t)) \cr
12 e(t): Gaussian with mean = 0, cov(X(s), X(t)) = 0.2*exp(-abs(s - t)/0.3)\cr
35 A data strusture containing \code{$learn} and \code{$test} functional data.
62 learn = dataf$learn
66 unique(learn$labels)
69 learn$dataf[[2]]$args[5]
70 learn$dataf[[2]]$vals[5]
74 plot(learn)
H A Ddataf.sim.1.CFF07.Rd12 e(t): Gaussian with mean = 0, cov(X(s), X(t)) = 0.2*exp(-abs(s - t)/0.3)\cr
36 A data strusture containing \code{$learn} and \code{$test} functional data.
63 learn = dataf$learn
67 unique(learn$labels)
70 learn$dataf[[2]]$args[5]
71 learn$dataf[[2]]$vals[5]
75 plot(learn)
/dports/science/pybrain/pybrain-0.3.3/examples/optimization/
H A Doptimizerinterface.py79 l.learn(0)
84 l.learn(0)
108 print(l.learn(5))
117 l.learn()
118 print(l.learn(), 'in', l.numEvaluations, 'evaluations.')
122 print(l.learn(), ': fitness below 10 (we minimize the function).')
126 l.learn()
127 print(l.learn(), 'in', l.numLearningSteps, 'learning steps.')
131 print(l.learn(75), 'in', l.numLearningSteps, 'total learning steps.')
136 l.learn()
[all …]
/dports/science/pybrain/pybrain-0.3.3/pybrain/tools/
H A Daptativeresampling.py56 res = l.learn()
58 pylab.plot(list(map(abs, l._allEvaluations)))
61 res = l2.learn()
64 pylab.plot(list(map(abs,l2._allEvaluations)))
/dports/misc/orange3/orange3-3.29.1/Orange/tests/
H A Dtest_softmax_regression.py37 learn = SoftmaxRegressionLearner()
38 clf = learn(self.iris)
40 self.assertLess(abs(p.sum(axis=1) - 1).all(), 1e-6)
H A Dtest_logistic_regression.py22 learn = LogisticRegressionLearner()
24 results = cv(self.heart_disease, [learn])
61 learn = LogisticRegressionLearner(penalty='l1')
62 clf = learn(self.iris[:100])
64 self.assertLess(abs(p.sum(axis=1) - 1).all(), 1e-6)
110 learn = LogisticRegressionLearner()
111 model = learn(self.heart_disease)
125 learn = LogisticRegressionLearner()
127 learn(t)
H A Dtest_linear_regression.py35 learn = LinearRegressionLearner()
36 clf = learn(t)
38 self.assertTrue((abs(z.reshape(-1, 1) - y2) < 2.0).all())
/dports/science/pybrain/pybrain-0.3.3/pybrain/tools/mixtures/
H A Dmogpuremax.py42 if abs(x) >= 4.0: return 0.000000001
64 def learn(self, x, y): member in MixtureOfGaussians
105 if abs(n) > 5.0: n = 0.0
107 m.learn(x, y)
H A Dmixtureofgaussian.py40 if abs(x) >= 4.0: return 0.000000001
71 if abs(n) > 5.0: n = 0.0
94 def learn(self, x, y, dm="max", typ="logLiklihood"): member in MixtureOfGaussians
151 self.learn(sampleX, sampleY, dm, "logLiklihood")
/dports/science/py-skrebate/skrebate-0.62/
H A DREADME.md15 This package includes a scikit-learn-compatible Python implementation of ReBATE, a suite of [Relief…
35 …E software releases, this scikit-learn compatible version primarily focuses on ease of incorporati…
36 This code is most appropriate for scikit-learn users, Windows operating system users, beginners, or…
54 * scikit-learn
58 NumPy, SciPy, and scikit-learn can be installed in Anaconda via the command:
61 conda install numpy scipy scikit-learn
74 … into scikit-learn machine learning workflows. For example, the ReliefF algorithm can be used as a…
109 …). [Benchmarking Relief-Based Feature Selection Methods](https://arxiv.org/abs/1711.08477). *arXiv…
118 howpublished = {arXiv e-print. https://arxiv.org/abs/1711.08477},
/dports/math/R-cran-CVST/CVST/R/
H A Dutil.R63 constructLearner = function(learn, predict) { argument
64 stopifnot(is.function(learn) && is.function(predict))
65 learner = list(learn=learn, predict=predict) nameattr
95 model = try(learner$learn(train, param))
257 label = factor(y == abs(y))
280 ret = t(sapply(x, function(xx) (1 + abs((xx - t) / w))^-4 )) %*% h
/dports/games/scid/scid/engines/phalanx-scid/
H A Dphalanx.c73 { "learning", no_argument, &Flag.learn, 1 }, in main()
74 { "no-learning", no_argument, &Flag.learn, 0 }, in main()
127 Flag.learn = 0; in main()
156 Flag.resign = abs(i); } in main()
203 { case '+': Flag.learn = 1; break; in main()
204 case '-': Flag.learn = 0; break; in main()
260 { SizeHT = 0; Flag.ponder = 0; Flag.learn = 0; } in main()
298 Flag.post = Flag.book = Flag.learn = Flag.ponder = Flag.polling = 0; in main()
326 if( Flag.learn ) in main()
392 if( Learn.f == NULL && Flag.learn ) in main()
[all …]
/dports/math/R-cran-dimRed/dimRed/man/
H A DUMAP-class.Rd58 package \code{umap-learn} (https://github.com/lmcinnes/umap/). This requires
59 \code{umap-learn} version 0.4 installed, at the time of writing, there is
60 already \code{umap-learn} 0.5 but it is not supported by the R package
70 \code{umap-learn} installed (use \code{pip install umap-learn}).
84 https://arxiv.org/abs/1802.03426
/dports/games/phalanx/Phalanx-XXV/
H A Dphalanx.c101 { "learning", no_argument, &Flag.learn, 1 }, in main()
102 { "no-learning", no_argument, &Flag.learn, 0 }, in main()
158 Flag.learn = 0; in main()
187 Flag.resign = abs(i); } in main()
250 { case '+': Flag.learn = 1; break; in main()
251 case '-': Flag.learn = 0; break; in main()
308 Flag.learn = 0; Flag.ponder = 0; SizeHT = 0; in main()
313 if( Flag.random ) Flag.learn=0; in main()
386 if( Flag.learn ) in main()
452 if( Learn.f == NULL && Flag.learn ) in main()
[all …]
/dports/devel/py-bullet3/bullet3-3.21/examples/pybullet/gym/pybullet_envs/deep_mimic/mocap/
H A DREADME.md7 If you want to learn movements directly from coordinates, you can use **inverse_kinect.py** and **r…
38 …Reinforcement Learning of Physics-Based Character Skills [[Link](https://arxiv.org/abs/1804.02717)]
40 … with temporal convolutions and semi-supervised training [[Link](https://arxiv.org/abs/1811.11742)]
/dports/multimedia/termplay/termplay-2.0.6/cargo-crates/image-0.22.3/src/math/
H A Dnq.rs116 self.learn(pixels); in init()
202 dist = (n.b - b).abs(); in contest()
203 dist += (n.r - r).abs(); in contest()
205 dist += (n.g - g).abs(); in contest()
206 dist += (n.a - a).abs(); in contest()
228 fn learn(&mut self, pixels: &[u8]) { in learn() method
/dports/www/geckodriver/mozilla-central-e9783a644016aa9b317887076618425586730d73/testing/geckodriver/cargo-crates/image-0.22.1/src/math/
H A Dnq.rs116 self.learn(pixels); in init()
202 dist = (n.b - b).abs(); in contest()
203 dist += (n.r - r).abs(); in contest()
205 dist += (n.g - g).abs(); in contest()
206 dist += (n.a - a).abs(); in contest()
228 fn learn(&mut self, pixels: &[u8]) { in learn() method
/dports/shells/ion/ion-a8872014dbce730ccd00aaa722397dc394a52bf4/cargo-crates/image-0.21.2/src/math/
H A Dnq.rs116 self.learn(pixels); in init()
202 dist = (n.b - b).abs(); in contest()
203 dist += (n.r - r).abs(); in contest()
205 dist += (n.g - g).abs(); in contest()
206 dist += (n.a - a).abs(); in contest()
228 fn learn(&mut self, pixels: &[u8]) { in learn() method
/dports/games/abstreet/abstreet-0.2.9-49-g74aca40c0/cargo-crates/image-0.23.4/src/math/
H A Dnq.rs116 self.learn(pixels); in init()
202 dist = (n.b - b).abs(); in contest()
203 dist += (n.r - r).abs(); in contest()
205 dist += (n.g - g).abs(); in contest()
206 dist += (n.a - a).abs(); in contest()
228 fn learn(&mut self, pixels: &[u8]) { in learn() method
/dports/games/dose-response/dose-response-179c326/cargo-crates/image-0.20.1/src/math/
H A Dnq.rs116 self.learn(pixels); in init()
202 dist = (n.b - b).abs(); in contest()
203 dist += (n.r - r).abs(); in contest()
205 dist += (n.g - g).abs(); in contest()
206 dist += (n.a - a).abs(); in contest()
228 fn learn(&mut self, pixels: &[u8]) { in learn() method
/dports/lang/spidermonkey78/firefox-78.9.0/third_party/rust/image/src/math/
H A Dnq.rs116 self.learn(pixels); in init()
202 dist = (n.b - b).abs(); in contest()
203 dist += (n.r - r).abs(); in contest()
205 dist += (n.g - g).abs(); in contest()
206 dist += (n.a - a).abs(); in contest()
228 fn learn(&mut self, pixels: &[u8]) { in learn() method
/dports/graphics/viu/viu-1.1/cargo-crates/image-0.22.5/src/math/
H A Dnq.rs116 self.learn(pixels); in init()
202 dist = (n.b - b).abs(); in contest()
203 dist += (n.r - r).abs(); in contest()
205 dist += (n.g - g).abs(); in contest()
206 dist += (n.a - a).abs(); in contest()
228 fn learn(&mut self, pixels: &[u8]) { in learn() method
/dports/multimedia/librav1e/rav1e-0.5.1/cargo-crates/color_quant-1.1.0/src/
H A Dlib.rs164 self.learn(pixels); in init()
278 dist = (n.b - b).abs(); in contest()
279 dist += (n.r - r).abs(); in contest()
281 dist += (n.g - g).abs(); in contest()
282 dist += (n.a - a).abs(); in contest()
304 fn learn(&mut self, pixels: &[u8]) { in learn() method

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