@@ -43,8 +43,8 @@ function MMI.fit(model::PCA, verbosity::Int, X)
4343 )
4444 cache = nothing
4545 report = (
46- indim= MS . size (fitresult, 1 ) ,
47- outdim= MS . size (fitresult, 2 ) ,
46+ indim= size (fitresult)[ 1 ] ,
47+ outdim= size (fitresult)[ 2 ] ,
4848 tprincipalvar= MS. tprincipalvar (fitresult),
4949 tresidualvar= MS. tresidualvar (fitresult),
5050 tvar= MS. var (fitresult),
@@ -112,8 +112,8 @@ function MMI.fit(model::KernelPCA, verbosity::Int, X)
112112 )
113113 cache = nothing
114114 report = (
115- indim= MS . size (fitresult, 1 ) ,
116- outdim= MS . size (fitresult, 2 ) ,
115+ indim= size (fitresult)[ 1 ] ,
116+ outdim= size (fitresult)[ 2 ] ,
117117 principalvars= copy (MS. eigvals (fitresult))
118118 )
119119 return fitresult, cache, report
@@ -187,8 +187,8 @@ function MMI.fit(model::ICA, verbosity::Int, X)
187187 )
188188 cache = nothing
189189 report = (
190- indim= MS . size (fitresult, 1 ) ,
191- outdim= MS . size (fitresult, 2 ) ,
190+ indim= size (fitresult)[ 1 ] ,
191+ outdim= size (fitresult)[ 2 ] ,
192192 mean= copy (MS. mean (fitresult))
193193 )
194194 return fitresult, cache, report
@@ -246,8 +246,8 @@ function MMI.fit(model::PPCA, verbosity::Int, X)
246246 )
247247 cache = nothing
248248 report = (
249- indim= MS . size (fitresult, 1 ) ,
250- outdim= MS . size (fitresult, 2 ) ,
249+ indim= size (fitresult)[ 1 ] ,
250+ outdim= size (fitresult)[ 2 ] ,
251251 tvar= MS. var (fitresult),
252252 mean= copy (MS. mean (fitresult)),
253253 loadings= MS. loadings (fitresult)
@@ -309,8 +309,8 @@ function MMI.fit(model::FactorAnalysis, verbosity::Int, X)
309309 )
310310 cache = nothing
311311 report = (
312- indim= MS . size (fitresult, 1 ) ,
313- outdim= MS . size (fitresult, 2 ) ,
312+ indim= size (fitresult)[ 1 ] ,
313+ outdim= size (fitresult)[ 2 ] ,
314314 variance= MS. var (fitresult),
315315 covariance_matrix= MS. cov (fitresult),
316316 mean= MS. mean (fitresult),
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