大小（x，1）必须大于n_components，n_components必须大于1
我得到了一个2*86矩阵。我想在朱莉娅的这个矩阵上应用UMAP。因此，我的代码是
embedding = umap(matrix; n_neighbors=2, min_dist=0.1, n_epochs=200)
当我收到错误“ grigentError：size（x，1）必须大于n_components，并且N_COMPONENTS必须大于1“如何解决此错误？
I got a 2*86 matrix. And I want to apply umap on this matrix in Julia. So my code is
embedding = umap(matrix; n_neighbors=2, min_dist=0.1, n_epochs=200)
While I got the error "ArgumentError: size(X, 1) must be greater than n_components and n_components must be greater than 1" How to solve this error?
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如果您具有N×M矩阵，则将其解释为对N维数据的观察，即输入中的每一列都是输入空间中的向量。由于
UMAP降低了数据的维度，因此输入中的行必须大于请求数量的输出组件，n_components，默认为2 and can and can and can' t（此刻）在UMAP.JL中为1您对二维数据有86个观察结果。由于数据已经是二维，因此您不能使用
umap来降低维度。If you have an n×m matrix, UMAP.jl interprets it as m observations of n-dimensional data, i.e. every column in your input is a vector in your input space. Since
umapreduces the dimensionality of your data the number of rows in your input needs to be larger than than the requested number of output components,n_componentswhich defaults to 2 and can't (at this moment) be 1 in UMAP.jl.You have 86 observations of 2-dimensional data. Since the data is already 2-dimensional you can't use
umapto reduce the dimensionality.