SHAP Values Change and Additivity Breaks on NumPy Upgrade

Nobody has claimed this yet.

## Description
Following the `0.1.3` release, the additivity of my logit-linked xgboost local tree shaps broke. I found that pinning my `numpy` version back to either `1.21.6` or `1.22.4` temporarily solved the issue. I also tested every `numpy` version from `1.23.1` to `1.23.5` and found that all `numpy` versions `1.23.*` were associated with the value changes.

## Brainstorming
It makes me wonder if there is any `numpy` or `numpy`-adjacent usage in FastTreeSHAP that could be reimplemented to be compatible with new versions. I would be glad to contribute if that's the case and someone could help restrict the scope of the problem (if I can't restrict it myself quickly enough). As we all know from #14, that would be highly preferable to pinning numpy versions. My instinct tells me this issue may link to an existing NumPy update note or issue... haven't looked too deeply yet.

## Good Release
In any case, I still think the decision to relax the `numpy` constraint is the right one and anyone who runs into the same behavior can just pin the version themselves in the short term.

## Environment Info
Partial result of `pip list`
```
Package Version
----------------------------- -----------
fasttreeshap 0.1.3
pandas 1.5.2
numba 0.56.4
numpy 1.23.5
setuptools 65.6.3
shap 0.41.0
wheel 0.38.4
xgboost 1.7.1

```

`uname --all`
```
Linux ip-**-**-*-*** 5.4.0-1088-aws #96~18.04.1-Ubuntu SMP Mon Oct 17 02:57:48 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux
```

`lscpu`
```
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz
Stepping: 7
CPU MHz: 3102.640
BogoMIPS: 5000.00
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 36608K
NUMA node0 CPU(s): 0-7
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves ida arat pku ospke avx512_vnni
```

Thanks for your responsiveness to the community!

**Nandish Gupta**
**Senior AI Engineer, [SolasAI](https://www.solas.ai/)**
[](https://www.solas.ai/)

No file or test is named. Reproduce the logit-linked XGBoost local tree SHAP behavior with NumPy 1.21.6, 1.22.4, and 1.23.1–1.23.5, then identify the NumPy-adjacent change associated with the altered values; done means additivity is restored without pinning NumPy.

Written by the indexing model from the issue text.