dgrahn

class Object
  # Check to see if a the object exists within an array. This is a reflexion of
  # {Array#include?} to make conditionals more readable.
  #
  # @param array [Array(Object)] The array to check
  #
  # @example
  #   'Draper'.in? ['Sterling', 'Cooper', 'Draper', 'Pryce']
  #   # => true
  #

dgrahn

.ui.unstackable.steps {
  flex-direction: row;
}

.ui.unstackable.steps .step {
  width: auto !important;
}

@media only screen and (max-width: (@largestMobileScreen)) {
  .ui.unstackable.padless.steps .step {

dgrahn

#!/bin/bash
# Install the latest Google Cloud SDK version - https://cloud.google.com/sdk
#
# To run this script on Codeship, add the following
# command to your project's setup commands:
# source /dev/stdin <<< "$(curl -sSL https://raw.githubusercontent.com/codeship/scripts/master/packages/google-cloud-sdk.sh)"
#
# Add the following environment variables to your project configuration
# * GOOGLE_CLOUD_KEY
# * GOOGLE_CLOUD_PROJECT_ID

dgrahn

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE
 * file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file
 * to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the
 * License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
 * an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the

dgrahn

#!/bin/bash

# This is just everything in compile.md
# turned into a script
# you should be able to run it, type in
# sudo passwd and have it install all of panda.
# Verified that this script works
# from a clean install of deb7.
#
#

dgrahn

"""Keras 1.0 metrics.

This file contains the precision, recall, and f1_score metrics which were
removed from Keras by commit: a56b1a55182acf061b1eb2e2c86b48193a0e88f7
"""
from keras import backend as K


def precision(y_true, y_pred):	
    """Precision metric.	

dgrahn

0x42232b:       mov     qword ptr [rsp + 0x48], rcx
0x422330:       pcmpeqd xmm1, xmm1
0x422334:       movq    xmm0, qword ptr [rsp + 0x48]
0x42233a:       mov     qword ptr [rsp + 0x48], rdi
0x42233f:       movhps  xmm0, qword ptr [rsp + 0x48]
0x422344:       mov     dword ptr [rsp + 0x60], r11d
0x422349:       mov     dword ptr [rsp + 0x58], r10d
0x42234e:       mov     byte ptr [rsp + 0x120], r9b
0x422356:       mov     r10, qword ptr [r13 + 0x470]
0x42235d:       mov     rcx, rax

dgrahn

dgrahn

import numpy as np
import tensorflow as tf
from collections import defaultdict

class MaxMetrics(tf.keras.callbacks.Callback):
    """Adds the max metric to the logs at the end of each epoch."""

    def __init__(self, metrics):
        """Creates a new MaxMetrics callback

dgrahn

/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,