ValueError Traceback $($most recent call last$)$

Cell In$[189],$ line $1$

$---->1$ X$\_$resample, y$\_$resample $=$ smote.fit$\_$resample$($X$,$y$)$

File ~$\backslash$AppData$\backslash$Local$\backslash$anaconda$3\backslash$Lib$\backslash$site$-$packages$\backslash$imblearn$\backslash$base$.$py:$203,$ in BaseSampler.fit$\_$resample$($self$,$ X$,$ y$)$

$182"""$Resample the dataset.

$183$

$184$ Parameters

$(...)$

$200$ The corresponding label of $`$X$\_$resampled$`.$

$201"""$

$202$ self.$\_$validate$\_$params$()$

$-->203$ return super$().$fit$\_$resample$($X$,$ y$)$

File ~$\backslash$AppData$\backslash$Local$\backslash$anaconda$3\backslash$Lib$\backslash$site$-$packages$\backslash$imblearn$\backslash$base$.$py:$82,$ in SamplerMixin.fit$\_$resample$($self$,$ X$,$ y$)$

$80$ check$\_$classification$\_$targets$($y$)$

$81$ arrays$\_$transformer $=$ ArraysTransformer$($X$,$ y$)$

$--->82$ X$,$ y$,$ binarize$\_$y $=$ self.$\_$check$\_$X$\_$y$($X$,$ y$)$

$84$ self.sampling$\_$strategy$\_=$ check$\_$sampling$\_$strategy$($

$85$ self.sampling$\_$strategy, y$,$ self.$\_$sampling$\_$type

$86)$

$88$ output $=$ self.$\_$fit$\_$resample$($X$,$ y$)$

File ~$\backslash$AppData$\backslash$Local$\backslash$anaconda$3\backslash$Lib$\backslash$site$-$packages$\backslash$imblearn$\backslash$base$.$py:$156,$ in BaseSampler.$\_$check$\_$X$\_$y$($self$,$ X$,$ y$,$ accept$\_$sparse$)$

$154$ accept$\_$sparse $=["$csr$","$csc$"]$

$155$ y$,$ binarize$\_$y $=$ check$\_$target$\_$type$($y$,$ indicate$\_$one$\_$vs$\_$all$=$True$)$

$-->156$ X$,$ y $=$ self.$\_$validate$\_$data$($X$,$ y$,$ reset$=$True, accept$\_$sparse$=$accept$\_$sparse$)$

$157$ return X$,$ y$,$ binarize$\_$y

File ~$\backslash$AppData$\backslash$Local$\backslash$anaconda$3\backslash$Lib$\backslash$site$-$packages$\backslash$sklearn$\backslash$base$.$py:$584,$ in BaseEstimator.$\_$validate$\_$data$($self$,$ X$,$ y$,$ reset, validate$\_$separately, $**$check$\_$params$)$

$582$ y $=$ check$\_$array$($y$,$ input$\_$name$="$y$",**$check$\_$y$\_$params$)$

$583$ else:

$-->584$ X$,$ y $=$ check$\_$X$\_$y$($X$,$ y$,**$check$\_$params$)$

$585$ out $=$ X$,$ y

$587$ if not no$\_$val$\_$X and check$\_$params.get$("$ensure$\_2$d$",$ True$)$:

File ~$\backslash$AppData$\backslash$Local$\backslash$anaconda$3\backslash$Lib$\backslash$site$-$packages$\backslash$sklearn$\backslash$utils$\backslash$validation$.$py:$1106,$ in check$\_$X$\_$y$($X$,$ y$,$ accept$\_$sparse, accept$\_$large$\_$sparse, dtype, order, copy, force$\_$all$\_$finite, ensure$\_2$d$,$ allow$\_$nd$,$ multi$\_$output, ensure$\_$min$\_$samples, ensure$\_$min$\_$features, y$\_$numeric, estimator$)$

$1101$ estimator$\_$name $=\_$check$\_$estimator$\_$name$($estimator$)$

$1102$ raise ValueError$($

$1103$ f$"\{$estimator$\_$name$\}$ requires y to be passed, but the target y is None"

$1104)$

$->1106$ X $=$ check$\_$array$($

$1107$ X$,$

$1108$ accept$\_$sparse$=$accept$\_$sparse,

$1109$ accept$\_$large$\_$sparse$=$accept$\_$large$\_$sparse,

$1110$ dtype$=$dtype,

$1111$ order$=$order,

$1112$ copy$=$copy,

$1113$ force$\_$all$\_$finite$=$force$\_$all$\_$finite,

$1114$ ensure$\_2$d$=$ensure$\_2$d$,$

$1115$ allow$\_$nd$=$allow$\_$nd$,$

$1116$ ensure$\_$min$\_$samples$=$ensure$\_$min$\_$samples,

$1117$ ensure$\_$min$\_$features$=$ensure$\_$min$\_$features,

$1118$ estimator$=$estimator,

$1119$ input$\_$name$="$X$",$

$1120)$

$1122$ y $=\_$check$\_$y$($y$,$ multi$\_$output$=$multi$\_$output, y$\_$numeric$=$y$\_$numeric, estimator$=$estimator$)$

$1124$ check$\_$consistent$\_$length$($X$,$ y$)$

File ~$\backslash$AppData$\backslash$Local$\backslash$anaconda$3\backslash$Lib$\backslash$site$-$packages$\backslash$sklearn$\backslash$utils$\backslash$validation$.$py:$879,$ in check$\_$array$($array$,$ accept$\_$sparse, accept$\_$large$\_$sparse, dtype, order, copy, force$\_$all$\_$finite, ensure$\_2$d$,$ allow$\_$nd$,$ ensure$\_$min$\_$samples, ensure$\_$min$\_$features, estimator, input$\_$name$)$

$877$ array $=$ xp$.$astype$($array$,$ dtype, copy$=$False$)$

$878$ else:

$-->879$ array $=\_$asarray$\_$with$\_$order$($array$,$ order$=$order, dtype$=$dtype, xp$=$xp$)$

$880$ except ComplexWarning as complex$\_$warning:

$881$ raise ValueError$($

$882$ "Complex data not supported

$\{\}$

$".$format$($array$)$

$883)$ from complex$\_$warning

File ~$\backslash$AppData$\backslash$Local$\backslash$anaconda$3\backslash$Lib$\backslash$site$-$packages$\backslash$sklearn$\backslash$utils$\backslash \_$array$\_$api.py:$185,$ in $\_$asarray$\_$with$\_$order$($array$,$ dtype, order, copy, xp$)$

$182$ xp$,\_=$ get$\_$namespace$($array$)$

$183$ if xp$.\_\_$name$\_\_$ in $\{"$numpy$",$ "numpy.array$\_$api"$\}$:

$184$ # Use NumPy API to support order

$-->185$ array $=$ numpy.asarray$($array$,$ order$=$order, dtype$=$dtype$)$

$186$ return xp$.$asarray$($array$,$ copy$=$copy$)$

$187$ else:

File ~$\backslash$AppData$\backslash$Local$\backslash$anaconda$3\backslash$Lib$\backslash$site$-$packages$\backslash$pandas$\backslash$core$\backslash$generic$.$py:$2070,$ in NDFrame.$\_\_$array$\_\_($self$,$ dtype$)$

$2069$ def $\_\_$array$\_\_($self$,$ dtype: npt$.$DTypeLike $|$ None $=$ None$)->$ np$.$ndarray:

$->2070$ return np$.$asarray$($self$.\_$values, dtype$=$dtype$)$

ValueError: could not convert string to float: $\text{'}3/31/2014\text{'}$