拟合GMM曲线的时候，出现了这个warning，julia新手，实在是不明白怎们办，求大家帮忙解答一下！谢谢！
源码是
gmm.Σ = S ./ N - gmm.μ.^2
## var flooring
tooSmall = any(gmm.Σ .< varfloor, dims=2)[:]
if (any(tooSmall))
ind = findall(tooSmall)
@warn("Variances had to be floored ", ind)
gmm.Σ[ind,:] = initc[ind, :]
end
也就是gmm.Σ的某些值太小了吧
太谢谢您啦！您能给一下修正意见嘛，我不知道要怎么修改 
gmm模型的理论忘得差不多了，爱莫能助
哈哈哈，谢谢啦！
有没有朋友可以帮忙解决一下呀，真滴不会 
solardata 怎么获取可以贴出来吗？
在网站上下载下来的，elia网站
如果不介意的话可以把原数据发上来，方便大家复现跟解决问题。
只是 warning 把结果挤到隐藏了，你可以直接查看 cluster centres：
gmm = GMM(5, solardata)
means(gmm)
可以得到结果：
K-means converged with 39 iterations (objv = 8.377615864125614e7)
┌ Info: Initializing GMM, 5 Gaussians diag covariance 5 dimensions using 2975 data points
└ @ GaussianMixtures /root/.julia/packages/GaussianMixtures/1pQcF/src/train.jl:79
┌ Info: K-means with 2975 data points using 39 iterations
│ 99.2 data points per parameter
└ @ GaussianMixtures /root/.julia/packages/GaussianMixtures/1pQcF/src/train.jl:140
┌ Warning: Variances had to be floored
│ ind = [1]
└ @ GaussianMixtures /root/.julia/packages/GaussianMixtures/1pQcF/src/train.jl:259
┌ Warning: Variances had to be floored
│ ind = [1]
└ @ GaussianMixtures /root/.julia/packages/GaussianMixtures/1pQcF/src/train.jl:259
5×5 Array{Float64,2}:
0.00125469 0.00162941 0.00311547 0.00174645 0.00292673
271.996 283.059 479.888 281.684 280.831
65.1878 68.6662 140.428 63.8164 62.708
1067.72 1009.85 656.021 1190.13 1235.06
632.132 618.535 658.592 673.808 675.271
查看 cluster covariance matrix：
covars(gmm)
┌ Info: Initializing GMM, 5 Gaussians diag covariance 5 dimensions using 2975 data points
└ @ GaussianMixtures /root/.julia/packages/GaussianMixtures/1pQcF/src/train.jl:79
K-means converged with 20 iterations (objv = 8.381541283955944e7)
┌ Info: K-means with 2975 data points using 20 iterations
│ 99.2 data points per parameter
└ @ GaussianMixtures /root/.julia/packages/GaussianMixtures/1pQcF/src/train.jl:140
┌ Warning: Variances had to be floored
│ ind = [1]
└ @ GaussianMixtures /root/.julia/packages/GaussianMixtures/1pQcF/src/train.jl:259
┌ Warning: Variances had to be floored
│ ind = [1]
└ @ GaussianMixtures /root/.julia/packages/GaussianMixtures/1pQcF/src/train.jl:259
5×5 Array{Float64,2}:
310.171 331.483 1085.37 296.477 329.601
7646.51 10819.6 53832.6 9092.55 14146.2
2806.51 3360.91 18259.9 2925.23 3803.74
9148.71 36350.6 45839.8 13268.8 23035.0
24303.3 36462.9 67745.8 31106.2 47137.0
当然好啦，原数据就是有点长哈哈
谢谢您的回复！但是我还是不知道要怎么更正我的代码，我看这个warning的意思是要我把float改成int么，在float情况下拟合出来的曲线效果很差，完全没有曲线的样子
你把你原始数据用markdown的格式改一下吧，就像这样，就不会太长了。（当然，你现在可以把你法数据那一楼删除）
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602.82
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598.73
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455.18
419.53
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154.87
84.01
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551.13
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669.52
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479.82
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524.08
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433.14
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80.3
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655
732.84
721
703.96
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1
5.31
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10.65
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217.58
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40.46
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0
wow太谢谢啦 
去掉 0 的话结果似乎稍微好一点。不过感觉这数据不太适合用 GMM 就是了。
謝謝您啦，我嘗試換一種擬合方式看一下
在plot函数里面加上xlim=(0, 50)试一下，看起来大于0的数据只出现在x轴小于50以内。这样应该就看得到曲线了
太謝謝您的幫助啦，抱歉前幾天略忙沒能及時回覆