lord-alfred

Y-Factors Formula

Здесь опубликованы коэффициенты для одного из внутренних ранжировщиков в поиске Яндекса. Это не итоговая формула, которая влияет на результат появления ссылки в серпе, т.к. судя по изученному коду – внутри используется несколько ранжировщиков и поисковых движков, результаты которых мержатся между собой и уже итоговый результат приводит к распределению ссылок по топу выдачи.

коэффициенты влияния на факторы

| Коэффициент | Название Фактора | Описание Фактора |

xdralex

Deep Learning

concepts

• forward and backward propagation
• vanishing gradient
• image convolution operation
• feature map, filter/kernel
• receptive field
• embedding
• translation invariance

marwei

Kafka 0.11.0.0 (Confluent 3.3.0) added support to manipulate offsets for a consumer group via cli kafka-consumer-groups command.

1. List the topics to which the group is subscribed

kafka-consumer-groups --bootstrap-server <kafkahost:port> --group <group_id> --describe

Note the values under "CURRENT-OFFSET" and "LOG-END-OFFSET". "CURRENT-OFFSET" is the offset where this consumer group is currently at in each of the partitions.

2. Reset the consumer offset for a topic (preview)

d1egoaz

If you want to learn Scala, I’d suggest:

• Install IntelliJ + Scala Plugin
• Don’t do the Coursera courses yet.
• Don’t do the “red book” Functional Programming in Scala yet.
• Do: http://underscore.io/books/
  • Essential Scala
  • Essential Play
  • Essential Slick
• Do Scala for the Impatient: https://www.amazon.com/Scala-Impatient-Cay-S-Horstmann/dp/0321774094
• The Neophyte’s Guide to Scala http://danielwestheide.com/scala/neophytes.html

artemklevtsov

#' @title Geolocate IP Addresses Through ip-api.com
#' @description
#' \code{geolocate} consumes a vector of IP addresses and geolocates them via 
#' \href{http://ip-api.com}{ip-api.com}.
#' @param ip a character vector of IP addresses.
#' @param lang a string to specify an output localisation language.
#' Allowed values: en, de, es, pt-BR, fr, ja, zh-CN, ru.
#' @param fields a string to specify which fields to return.
#' @param delay a logical to whether or not to delay each request by 400ms.
#' ip-api.com has a maximum threshold of 150 requests a minute. Disable it for

ursuad

Kafka Topics

List existing topics

bin/kafka-topics.sh --zookeeper localhost:2181 --list

Describe a topic

bin/kafka-topics.sh --zookeeper localhost:2181 --describe --topic mytopic

Purge a topic

bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic mytopic --config retention.ms=1000

... wait a minute ...

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

marmbrus

First a disclaimer: This is an experimental API that exposes internals that are likely to change in between different Spark releases. As a result, most datasources should be written against the stable public API in org.apache.spark.sql.sources. We expose this mostly to get feedback on what optimizations we should add to the stable API in order to get the best performance out of data sources.

We'll start with a simple artificial data source that just returns ranges of consecutive integers.

/** A data source that returns ranges of consecutive integers in a column named `a`. */
case class SimpleRelation(
    start: Int, 
    end: Int)(
    @transient val sqlContext: SQLContext) 

apangin

_hashCode                               java/lang/Object.hashCode()I
_getClass                               java/lang/Object.getClass()Ljava/lang/Class;
_clone                                  java/lang/Object.clone()Ljava/lang/Object;
_dabs                                   java/lang/Math.abs(D)D
_dsin                                   java/lang/Math.sin(D)D
_dcos                                   java/lang/Math.cos(D)D
_dtan                                   java/lang/Math.tan(D)D
_datan2                                 java/lang/Math.atan2(DD)D
_dsqrt                                  java/lang/Math.sqrt(D)D
_dlog                                   java/lang/Math.log(D)D

mikesmullin

Mike's x86-64 Assembly (ASM) Notes

Assembling Binary Machine Code

Operating Modes:

These determine the assumed/default size of instruction operands, and restricts which opcodes are available, and how they are used.

Modern operating systems, booted inside Real mode,