pls correct my code :

ltv $=[354,181,283,107]$

conv$\_$rate $=[0\mathrm{.}3,0\mathrm{.}32,0\mathrm{.}3,0\mathrm{.}3]$

def objective$($params$)$:

x $=$ params$[$:$4]$

alpha $=$ params$[4]$

beta $=$ params$[5]$

ltv $=$ params$[6$:$10]$

conv$\_$rate $=$ params$[10$:$]$

return $-$np$.$sum$($ltv $*$ conv$\_$rate $*$ nonlinear$\_$regression$($x$,$ alpha, beta$))$

def estimate$\_$optimal$\_$bids$($alpha$\_$beta, ltv$,$ conv$\_$rate$)$:

alpha, beta $=$ alpha$\_$beta

# Set up the initial value vector

x$0=$ np$.$zeros$(4)$

params$0=$ np$.$concatenate$([$x$0,[$alpha$,$ beta$],$ ltv$,$ conv$\_$rate$])$

# Set up the bounds for the bids $($lower limit $=0)$

bounds $=[(0,$ None$)]*4+[($None$,$ None$),($None$,$ None$)]+[(0,$ None$)]*4$

# Perform optimization

result $=$ minimize$($objective$,$ params$0,$ bounds$=$bounds$)$

optimal$\_$bids $=$ result.x$[$:$4]$

return optimal$\_$bids

# Example usage

alpha$\_$beta$\_$kw$8322228=[0\mathrm{.}1,0\mathrm{.}2]$ # Replace with actual values

optimal$\_$bids$\_$kw$8322228=$ estimate$\_$optimal$\_$bids$($alpha$\_$beta$\_$kw$8322228,$ ltv$[0],$ conv$\_$rate$[0])$

print$("$kw$8322228-$ optimal bids:", optimal$\_$bids$\_$kw$8322228)$

$---------------------------------------------------------------------------$

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

$/$var$/$folders$/$pv$/$wv$1191$lx$7$kv$6$ns$91$rgv$99$l$\_$h$0000$gn$/$T$/$ipykernel$\_51013/3450181159.$py in

$29$ # Example usage

$30$ alpha$\_$beta$\_$kw$8322228=[0\mathrm{.}1,0\mathrm{.}2]$ # Replace with actual values

$--->31$ optimal$\_$bids$\_$kw$8322228=$ estimate$\_$optimal$\_$bids$($alpha$\_$beta$\_$kw$8322228,$ ltv$[0],$ conv$\_$rate$[0])$

$32$ print$("$kw$8322228-$ optimal bids:", optimal$\_$bids$\_$kw$8322228)$

$/$var$/$folders$/$pv$/$wv$1191$lx$7$kv$6$ns$91$rgv$99$l$\_$h$0000$gn$/$T$/$ipykernel$\_51013/3450181159.$py in estimate$\_$optimal$\_$bids$($alpha$\_$beta, ltv$,$ conv$\_$rate$)$

$16$ # Set up the initial value vector

$17$ x$0=$ np$.$zeros$(4)$

$--->18$ params$0=$ np$.$concatenate$([$x$0,[$alpha$,$ beta$],$ ltv$,$ conv$\_$rate$])$

$19$

$20$ # Set up the bounds for the bids $($lower limit $=0)$

~$/$opt$/$anaconda$3/$lib$/$python$3\mathrm{.}9/$site$-$packages$/$numpy$/$core$/$overrides$.$py in concatenate$(*$args$,**$kwargs$)$

ValueError: all the input arrays must have same number of dimensions, but the array at index $0$ has $1$ dimension$($s$)$ and the array at index $2$ has $0$ dimension$($s$)$