The meaning of FORECAST is to calculate or predict (some future event or condition) usually as a result of study and analysis of available pertinent data; especially : to predict (weather conditions) on the basis of correlated meteorological observations
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forecast(v.) late 14c., "to scheme," fromfore-"before" +castenin the sense of "contrive, plan, prepare" (late 14c.; seecast(v.)). Meaning "predict events" first attested late 15c. (cast(v.) "to perceive, notice" is from late 14c.). Related:Forecasting. ...
aBully we don't understand English. 恶霸我们不了解英语。[translate] ait's also meaning that you are being brave at expressing your love life 它也意味着您是勇敢的在表达您的爱生活[translate] a아니요.(号) 不是。 ()[translate]
aiphone在中国用户的规模达 iphone reaches in the Chinese user's scale[translate] a使我放松 Causes me to relax[translate] aCllent ID是什么意思 Cllent ID is any meaning[translate] a 麻痹指数:6 危险指数:6[translate] a我会鼓励我自己,每天坚持。我相信付出就有回报。 I can encourage me, every ...
Each recipe presented in the book is standalone, meaning that you can copy and paste it into your project and use it immediately. You get one Python script (.py) for each example provided in the book. You get the datasets used throughout the book. Your Time Series Code Recipe Library ...
There are wide margins within these judgements meaning the forecaster’s incentives start to influence the resulting outcome. There is a great example of this related to Scotland’s upcoming Independence Referendum. Both sides have made conflicting claims of financial benefits should their side win: ...
a我的意思是我怎么才能去你那里 How is my meaning I can your there[translate] acome to here? 来到这里?[translate] afor people with little experience 为人以一点经验[translate] a我媽今天很忙 My mother very is busy today[translate] a在澳大利亚期间生活由我的父母提供经济支持,住宿在我的祖母或我大...
When the app is launched, the current weather is presented amid a large, simple gradient background alongside a bit of text describing in plain English what the weather is like. Right now, ours reads "66 - It's cloudy, but still fine," for instance. ...
therefore the term “features” in Time Series (here only one because of your first univariate approach in this tutorial) has a different value (or meaning) of the term “feature” in equivalent regression/classification approach (here 3 because a sequence of 3 input data) 2) ...