Examples of IWeightValue

Examples of hivemall.io.IWeightValue

214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
                v = fv.getValue();
            } else {
                k = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                v = 1.f;
            }
            IWeightValue old_w = model.get(k);
            if(old_w == null) {
                variance += (1.f * v * v);
            } else {
                score += (old_w.get() * v);
                variance += (old_w.getCovariance() * v * v);
            }
        }

        return new PredictionResult(score).variance(variance);
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

120
121
122
123
124
125
126
127
128
129
                v = fv.getValue();
            } else {
                k = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                v = 1.f;
            }
            IWeightValue old_w = model.get(k);
            IWeightValue new_w = getNewWeight(old_w, v, coeff, beta);
            model.set(k, new_w);
        }
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

114
115
116
117
118
119
120
121
122
123
            } else {
                x = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                xi = 1.f;
            }

            IWeightValue old_w = model.get(x);
            IWeightValue new_w = getNewWeight(old_w, xi, gradient, g_g);
            model.set(x, new_w);
        }
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
                v = fv.getValue();
            } else {
                k = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                v = 1.f;
            }
            IWeightValue old_correctclass_w = model2add.get(k);
            IWeightValue new_correctclass_w = getNewWeight(old_correctclass_w, v, alpha, phi, true);
            model2add.set(k, new_correctclass_w);

            if(model2sub != null) {
                IWeightValue old_wrongclass_w = model2sub.get(k);
                IWeightValue new_wrongclass_w = getNewWeight(old_wrongclass_w, v, alpha, phi, false);
                model2sub.set(k, new_wrongclass_w);
            }
        }
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
                v = fv.getValue();
            } else {
                k = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                v = 1.f;
            }
            IWeightValue old_correctclass_w = model2add.get(k);
            IWeightValue new_correctclass_w = getNewWeight(old_correctclass_w, v, alpha, beta, true);
            model2add.set(k, new_correctclass_w);

            if(model2sub != null) {
                IWeightValue old_wrongclass_w = model2sub.get(k);
                IWeightValue new_wrongclass_w = getNewWeight(old_wrongclass_w, v, alpha, beta, false);
                model2sub.set(k, new_wrongclass_w);
            }
        }
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
                v = fv.getValue();
            } else {
                k = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                v = 1.f;
            }
            IWeightValue old_w = model.get(k);
            if(old_w == null) {
                variance += (1.f * v * v);
            } else {
                score += (old_w.get() * v);
                variance += (old_w.getCovariance() * v * v);
            }
        }

        return new PredictionResult(score).variance(variance);
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
                v = fv.getValue();
            } else {
                k = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                v = 1.f;
            }
            IWeightValue old_w = model.get(k);
            if(old_w == null) {
                variance += (1.f * v * v);
            } else {
                score += (old_w.get() * v);
                variance += (old_w.getCovariance() * v * v);
            }
        }

        return new PredictionResult(score).variance(variance);
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

124
125
126
127
128
129
130
131
132
133
                v = fv.getValue();
            } else {
                k = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                v = 1.f;
            }
            IWeightValue old_w = model.get(k);
            IWeightValue new_w = getNewWeight(old_w, v, y, alpha, beta);
            model.set(k, new_w);
        }
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

249
250
251
252
253
254
255
256
257
258
                v = fv.getValue();
            } else {
                k = ObjectInspectorUtils.copyToStandardObject(f, featureInspector);
                v = 1.f;
            }
            IWeightValue old_w = model.get(k);
            IWeightValue new_w = getNewWeight(old_w, v, y, alpha, beta);
            model.set(k, new_w);
        }
    }
View Full Code Here

Examples of hivemall.io.IWeightValue

118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
        final float gradient = -y * xi;
        final float scaled_gradient = gradient * scaling;

        float scaled_sum_sqgrad = 0.f;
        float scaled_sum_grad = 0.f;
        IWeightValue old = model.get(x);
        if(old != null) {
            scaled_sum_sqgrad = old.getSumOfSquaredGradients();
            scaled_sum_grad = old.getSumOfGradients();
        }
        scaled_sum_grad += scaled_gradient;
        scaled_sum_sqgrad += (scaled_gradient * scaled_gradient);

        float sum_grad = scaled_sum_grad * scaling;
        double sum_sqgrad = scaled_sum_sqgrad * scaling;

        // sign(u_{t,i})
        float sign = (sum_grad > 0.f) ? 1.f : -1.f;
        // |u_{t,i}|/t - \lambda
        float meansOfGradients = sign * sum_grad / t - lambda;
        if(meansOfGradients < 0.f) {
            // x_{t,i} = 0
            model.delete(x);
        } else {
            // x_{t,i} = -sign(u_{t,i}) * \frac{\eta t}{\sqrt{G_{t,ii}}}(|u_{t,i}|/t - \lambda)
            float weight = -1.f * sign * eta * t * meansOfGradients / (float) Math.sqrt(sum_sqgrad);
            IWeightValue new_w = new WeightValueParamsF2(weight, scaled_sum_sqgrad, scaled_sum_grad);
            model.set(x, new_w);
        }
    }
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.