vene

import numpy as np
from sklearn.metrics import precision_recall_curve, average_precision_score


def naive_interpolated_precision(y_true, y_scores):
    precisions, recalls, _ = precision_recall_curve(y_true, y_scores)
    interp_precisions = []

    # the final point
    precisions = precisions[:-1]

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DYNET_PATH ?= /home/vlad/code/dynet
EIGEN_PATH ?= /home/vlad/code/eigen

CC = g++
DEBUG = -g
INCLUDES = -I$(DYNET_PATH) -I$(EIGEN_PATH) 
LIBS = -L$(DYNET_PATH)/build-cuda/dynet/ 
CFLAGS = -O3 -Wall -Wno-sign-compare -Wno-int-in-bool-context -c -fmessage-length=0 $(INCLUDES) -DEIGEN_FAST_MATH -fPIC -fno-finite-math-only -Wno-missing-braces -std=c++11 -funroll-loops
LFLAGS = $(LIBS) -ldynet

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""" Poisson-loss Factorization Machines with Numba

Follows the vanilla FM model from:
Steffen Rendle (2012): Factorization Machines with libFM.
In: ACM Trans. Intell. Syst. Technol., 3(3), May.
http://doi.acm.org/10.1145/2168752.2168771

See also: https://github.com/coreylynch/pyFM
"""

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from collections import Counter
import numpy as np
from sklearn.metrics import euclidean_distances
from pyemd import emd as pyemd


def word_movers_distance(a, b, embeddings):
    """Word Mover's Distance.
    
    A measure of text similarity: earth mover's distance in embedding metric space.

vene

import numpy as np

from sklearn.datasets import load_iris
from sklearn.linear_model import LogisticRegression
from sklearn.utils import shuffle

# get shuffled iris data
X, y = load_iris(return_X_y=True)
X, y = shuffle(X, y, random_state=0)

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Keybase proof

I hereby claim:

• I am vene on github.
• I am vladn (https://keybase.io/vladn) on keybase.
• I have a public key ASDuOJyHfNOqEqi3_3T0noSsAbKFt2dTowwoihXfRoguwAo

To claim this, I am signing this object:

vene

/*! Socket.IO.js build:0.9.16, development. Copyright(c) 2011 LearnBoost <dev@learnboost.com> MIT Licensed */

/* Modifications by Vlad Niculae <vlad@vene.ro>

Available at https://gist.github.com/vene/c0657d854ae74a4511d2

Forked from https://raw.githubusercontent.com/Automattic/socket.io-client/ \
  0.9.16/dist/socket.io.js

Changes: