adamhaber

from __future__ import division  # For Python 2 compatibility
import jax.numpy as np
import jax
from functools import partial
from functools import partial

@partial(jax.jit, static_argnums=(1,2,3))
def psis_single(x, cutoff_ind, cutoffmin, k_min):
    # improve numerical accuracy
    x -= np.max(x)

adamhaber

{
   "source":"great location and great community, some of the members of the management are super nice and friendly and some are hardly so. the maintenance situation could be improved.",
   "label":[
      1
   ],
   "label-metadata":{
      "job-name":"labeling-job/reviews-single-label-pilot-2",
      "confidence-map":{
         "1":0.04
      },

adamhaber

using LinearAlgebra,Distributed, Statistics, GraphRecipes, BenchmarkTools, LinearAlgebra, LightGraphs, Plots, RCall, ProfileView, FunctionWrappers, LoopVectorization, ThreadPools, FunctionWranglers
using FunctionWrappers: FunctionWrapper
import LightGraphs: 
    AbstractGraph,
    SimpleGraph,
    SimpleDiGraph,
    AbstractEdge,
    SimpleEdge,
    has_edge,
    is_directed,

adamhaber

using Distributed, Statistics, GraphRecipes, BenchmarkTools, LinearAlgebra, LightGraphs, Plots, RCall, ProfileView, FunctionWrappers, LoopVectorization, ThreadPools

using FunctionWrappers: FunctionWrapper
using Profile

n = 100
g_orig = erdos_renyi(n, 0.05; is_directed = true)
g_adj = convert(Array{Bool, 2}, collect(adjacency_matrix(g_orig)));

struct erg{G <: AbstractArray{Bool}} <: AbstractGraph{Int}