在 中文 中使用 拟合 的示例及其翻译为 英语
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所有曲线拟合模型中，X(通常为浓度)是自变量和Y(通常为响应值)是因变量。
In all curve fit models, X(generally the concentration) is an independent variable and Y(the response) is a dependant variable.如果2参数指数分布显著改善了拟合，则似然比检验统计量的p值非常小。
If a 2-parameter exponential distribution significantly improves the fit, then the p-value for likelihood-ratio test statistic is very small.你谈到了曲线拟合的方法，看起来你对机器学习并不是很感兴趣？
The way you talk about curve fitting, it sounds like you're not very impressed with machine learning.SpectralGOF-计算拟合的光谱优度（SGOF），这是衡量网络模型解释观察到的网络结构的能力的一种度量.
SpectralGOF- Computes the spectral goodness of fit(SGOF), a measure of how well a network model explains the structure of an observed network.如何拟合，心想，这崎岖的个人主义者类型仍在运行拨号唯一BBS(没有Telnet)中东的德克萨斯州。
How fitting, I thought, that a rugged individualist-type would still be running a dial-up only BBS(no Telnet) out in the middle of Texas.因此，你不能用广义线性模型或多变量回归来拟合。
Thus, you cannot fit a generalized linear model or multi-variate regression using this.从我最早的学校天，我最大的挑战之一是进入世界施加的刚性结构拟合。
From my earliest school days, one of my greatest challenges was fitting into the rigid structures that the world imposed.让大家使用时间(date)列提取特征，如-day,month,year,mon/fri等，然后拟合线性回归模型。
Let us use the date column to extract features like- day, month, year, mon/fri etc. and then fit a linear regression model.机器学习中最重要的部分是探索数据分析（或EDA）和特征工程，而不是模型拟合。
The most important part of machine learning is Exploratory Data Analysis(or EDA) and feature engineering and not model fitting.例如，我们可以比较两个模型的偏差值，以确定平方项是否可以显著改善拟合。
For example, we can compare the deviance values for two models to determine if a squared term would improve the fit significantly.这种脱色时间课程因此提供有关反应和扩散，其中可以提取的拟合数据模型解决方案的信息。
Such a FRAP time course consequently provides information on reaction and diffusion, which can be extracted by fitting the model solution to the data.与SequentialAPI一样，该模型是你可以概述、拟合、评估和使用做出预测。
As with the Sequential API, the model is the thing you can summarize, fit, evaluate, and use to make predictions.整个数据集标绘如上图，现在我用复杂的视觉化方法为该数据拟合的线就变得很有问题了。
The whole dataset is plotted and now my sophisticated method of visually fitting lines to the data becomes very questionable.因此，我们需要约束来减少我们在数据集上拟合的线的方差。
We thus need constraints to decrease the variance of the line we fit on a dataset.所有令人印象深刻的深刻学习成就都只是因为曲线拟合。
All the impressive achievements of deep learning amount to just curve fitting.所以这三个图像，全都是你可以用原来的模型来拟合的高斯分布的例子。
So all three of these are examples of Gaussian distributions that you can fit using the original model.在实际工作中，为使仪表具有均匀刻度的读数，常用一条拟合直线近似地代表实际的特性曲线。
In practice, in order to make the instrument have uniform calibration reading, a fitting straight line is often used to approximate the actual characteristic curve.如果没有将足够的数据用于培训，模型可能无法学习，更糟的是，模型可能出现过度拟合。
If not enough data is used for training, a model may not be able learn or worse, it may over fit.一般来说，这些方法需要复杂和低效的管道来建模和拟合。
In general these methods require complex and inefficient pipelines for model building and fitting.一般来说，这些方法需要复杂而低效的pipelines来建模和拟合。
In general these methods require complex and inefficient pipelines for model building and fitting.
